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    1.0 Introduction

    Traffic engineering is a branch ofcivil engineering that uses engineering techniques to

    achieve the safe and efficient movement of people and goods. It focuses mainly on research and

    construction of the infrastructure necessary for safe and efficient traffic flow, such

    as road geometry, sidewalks and crosswalks,segregated cycle facilities,shared lane

    marking, traffic signs, road surface markings and traffic lights.

    Traffic engineering is closely associated with other disciplines:

    Transport engineering

    Highway engineering

    Transportation planning

    Urban planning

    Human factors engineering

    Typical Traffic engineering projects include:

    Designing traffic control device installations and modifications, including traffic

    signals, signs, and pavement markings

    Investigating locations with high crash rates and developing countermeasures to

    reduce crashes

    Preparing construction traffic control plans, including detour plans for pedestrian

    and vehicular traffic

    Estimating the impacts of commercial developments on traffic patterns

    Along with computer and electrical engineers, developing systems for intelligent

    transportation systems

    1

    http://en.wikipedia.org/wiki/Civil_engineeringhttp://en.wikipedia.org/wiki/Roadhttp://en.wikipedia.org/wiki/Sidewalkshttp://en.wikipedia.org/wiki/Crosswalkshttp://en.wikipedia.org/wiki/Segregated_cycle_facilitieshttp://en.wikipedia.org/wiki/Segregated_cycle_facilitieshttp://en.wikipedia.org/wiki/Segregated_cycle_facilitieshttp://en.wikipedia.org/wiki/Shared_lane_markinghttp://en.wikipedia.org/wiki/Shared_lane_markinghttp://en.wikipedia.org/wiki/Traffic_signshttp://en.wikipedia.org/wiki/Road_surface_markinghttp://en.wikipedia.org/wiki/Traffic_lightshttp://en.wikipedia.org/wiki/Transport_engineeringhttp://en.wikipedia.org/wiki/Highway_engineeringhttp://en.wikipedia.org/wiki/Transportation_planninghttp://en.wikipedia.org/wiki/Urban_planninghttp://en.wikipedia.org/wiki/Human_factorshttp://en.wikipedia.org/wiki/Roadhttp://en.wikipedia.org/wiki/Sidewalkshttp://en.wikipedia.org/wiki/Crosswalkshttp://en.wikipedia.org/wiki/Segregated_cycle_facilitieshttp://en.wikipedia.org/wiki/Shared_lane_markinghttp://en.wikipedia.org/wiki/Shared_lane_markinghttp://en.wikipedia.org/wiki/Traffic_signshttp://en.wikipedia.org/wiki/Road_surface_markinghttp://en.wikipedia.org/wiki/Traffic_lightshttp://en.wikipedia.org/wiki/Transport_engineeringhttp://en.wikipedia.org/wiki/Highway_engineeringhttp://en.wikipedia.org/wiki/Transportation_planninghttp://en.wikipedia.org/wiki/Urban_planninghttp://en.wikipedia.org/wiki/Human_factorshttp://en.wikipedia.org/wiki/Civil_engineering
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    1.1 Issue selected

    We had chosen this location as our study due to we think that the area is highly risk of

    accident to occur. This is because we think the radius if the roundabout is not enough for the

    volume and speed of vehicles that often use the road such as cars, motorcycles and buses.

    Due to the straight and long way before the roundabout, vehicles usually speed up their

    vehicles. But when they get closed to the roundabout, they need to change the speed abruptly. If

    the majority of road users failed to control it well, accident might occur.

    Other than that, we consider the safety of the vulnerable road user which is the motorist

    and pedestrian. Due to there`s no specific space for pedestrian, their life are at risk every time

    they cross the road along the roundabout. While for motorist, the narrow size of the road, they

    might get caught between larger vehicles and the divider.

    At the roundabout itself, we can see the flexible road divider are already damaged. If this

    problem is underestimated, this will implicate such huge loss as life, cost, time and esthetic

    value.

    1.2 Motorist Safety and Comfort

    Motorcycle safety concerns many aspects of vehicle and equipment design as well as

    operator skill and training that are unique to motorcycle riding.

    In many countries, motorcycles are a popular form of transport. Motorcycles are

    relatively cheap compared to other forms of motorized vehicles, and provide mobility to millions

    2

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    of people worldwide. However, unlike other forms of motorized transport, there is very little

    protection for motorcycle riders and passengers. When crashes do occur, they often have very

    severe consequences, especially at higher speeds or in situations where larger vehicles are

    involved. The chance of a motorcycle rider or passenger surviving a collision with a car is

    greatly reduced at speeds over 30 km/h.

    Even in countries where motorcycles form only a small part of traffic, motorcycle

    casualties can form a significant part of the crash problem, and the risk of injury or death is many

    times greater for motorcyclists than for other forms of transport. In many low and middle-

    income countries motorcycles are a major means of transport and their requirements should be

    reflected in road design and traffic management measures. In high-income countries

    motorcycling is often a more minor transport mode but also a significant leisure pursuit, and the

    two groups of motorcyclists present very different risks and require different countermeasures to

    improve their safety.

    Certain maneuvers and road conditions carry a higher risk to motorcyclists than to

    drivers. For example, motorcycles are less stable, and so riders are more likely to lose control of

    their vehicle when cornering. Motorcycles have very different road performance characteristics

    than other types of vehicles. Motorcyclists can accelerate much more rapidly than other

    vehicles. They may appear in positions where other road users do not expect them. Motorcycle

    riders may also suddenly change their lane position to avoid a pavement hazard.

    The road environment has a significant influence on the risk of crashes involving

    motorcyclists. Contributing factors include:

    Interaction with larger vehicles (cars, trucks)

    Road surface issues (such as roughness, potholes or debris on the road)

    Water, oil or moisture on the road

    Excessive line marking or use of raised pavement markers

    Poor road alignment

    Presence of roadside hazards and safety barriers

    Number of vehicles and other motorcyclists using the route.

    3

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    Road design and safety engineering countermeasures aimed at the specific needs of

    motorcyclists is, in part, being addressed with guideline documents produced by motorcycle user

    and industry groups. Aimed at road engineers, such guidelines recognize that measures that can

    protect vehicle occupants from serious injury in the event of a crash may have a negative impact

    on motorcyclists. By far the most contentious area of debate in this field regards crash barriers.

    Typically, standard safety barriers are not tested for their impact on motorcyclists, but

    research suggests that the exposed vertical support posts are particularly aggressive, irrespective

    of the barriers' other components. Secondary rails, such as the Bike Guard, BASYC or Moto

    Tub systems, that protect riders from the posts and present a continuous surface, and impact

    attenuators that cover the support posts themselves are being increasingly implemented.

    1.3 Pedestrian Safety

    Emergency physicians see thousands of pedestrians injured every year. In 2008, 69,000

    pedestrians were injured in traffic crashes and nearly 5,000 (4,378) were killed. A pedestrian is

    injured every eight minutes and one is killed every two hours. Alcohol involvement (for driver

    or pedestrian) was reported in nearly half of all traffic crashes resulting in pedestrian deaths. In

    one-third of pedestrian fatalities, the pedestrian is intoxicated. Everyone is only one step away

    from a medical emergency.

    1.3.1 Pedestrian Safety Through Vehicle Design

    Almost two-thirds of the 1.2 million people killed annually in road traffic crashes

    worldwide arepedestrians. Despite the magnitude of the problem, most attempts at reducing

    pedestrian deaths have focused solely on education and traffic regulation. However, in recent

    years crash engineers have begun to use design principles that have proved successful in

    protecting car occupants to develop vehicle design concepts that reduce the likelihood of injuries

    to pedestrians in the event of a car-pedestrian crash. These involve redesigning the bumper, hood

    4

    http://en.wikipedia.org/wiki/Pedestrianhttp://en.wikipedia.org/wiki/Bumper_(automobile)http://en.wikipedia.org/wiki/Pedestrianhttp://en.wikipedia.org/wiki/Bumper_(automobile)
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    (bonnet), and the windshield andpillarto be energy absorbing (softer) without compromising the

    structural integrity of the car.

    Most pedestrian crashes involve a forward moving car (as opposed to buses and other

    vehicles with a vertical hood/bonnet). In such a crash, a standing or walking pedestrian is struck

    and accelerated to the speed of the car and then continues forward as the car brakes to a halt.

    Although the pedestrian is impacted twice, first by the car and then by the ground, most of the

    fatal injuries occur due to the interaction with the car. The vehicle designers usually focus their

    attention on understanding the car-pedestrian interaction, which is characterized by the following

    sequence of events: the vehicle bumper first contacts the lower limbs of the pedestrian, the

    leading edge of the hood hits the upperthigh orpelvis, and the head and uppertorso are struck by

    the top surface of the hood and/or windshield.

    1.3.2 Who is at risk for pedestrian injury and death?

    More than two-thirds of pedestrians (70 percent) who died were males. About one-fifth

    of children between the ages 5 and 9 who died in traffic crashes are pedestrians. Children ages

    15 and younger account for 22 percent of all pedestrians injured in traffic crashes. Older

    pedestrians (over age 65) account for 18 percent of all pedestrian fatalities and 10 percent of all

    pedestrian injuries (National Highway Traffic and Safety Administration).

    1.3.3 When do pedestrian deaths and injuries happen?

    Thirty-eight percent of all young (under age 16) pedestrian fatalities occur between 3 and

    7 p.m. Pedestrian deaths are more likely to occur Fridays, Saturdays or Sundays than on other

    days; nearly half (49 percent) of all pedestrian fatalities occurred on these days. More

    pedestrians die on New Years Day than on any other day of the year (Injury Prevention).

    Halloween is the most dangerous day of the year for pedestrian injuries and deaths among

    children. Children are walking at night and in costumes, which may impede their vision and

    create tripping hazards.

    5

    http://en.wikipedia.org/wiki/Windshieldhttp://en.wikipedia.org/wiki/Pillar_(car)http://en.wikipedia.org/wiki/Lower_limbhttp://en.wikipedia.org/wiki/Thighhttp://en.wikipedia.org/wiki/Pelvishttp://en.wikipedia.org/wiki/Headhttp://en.wikipedia.org/wiki/Torsohttp://en.wikipedia.org/wiki/Windshieldhttp://en.wikipedia.org/wiki/Pillar_(car)http://en.wikipedia.org/wiki/Lower_limbhttp://en.wikipedia.org/wiki/Thighhttp://en.wikipedia.org/wiki/Pelvishttp://en.wikipedia.org/wiki/Headhttp://en.wikipedia.org/wiki/Torso
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    1.3.4 How often is alcohol involved in a pedestrian injury or death?

    Alcohol involvement, either by a driver or pedestrian, was reported in nearly half (48

    percent) of traffic crashes that resulted in pedestrian fatalities in 2008. Thirty-six percent of

    pedestrians killed in traffic accidents had blood alcohol concentrations of .08 or higher. Thirteen

    percent of drivers had .08 blood alcohol concentrations. In 6 percent of accidents, both the

    driver and pedestrian were intoxicated.

    1.3.5 Is cell phone use associated with pedestrian injuries?

    This is a growing trend. The rate of pedestrian injuries resulting from walking while

    using a cell phone, either to talk or to text, doubled from 2006 to 2007 and doubled again in

    2008. To prevent injury and death, pedestrians should:

    Use sidewalks. Know and obey safety rules.

    Cross only at intersections and crosswalks and only with a green light.

    Look left, right and left again for traffic before stepping off the curb.

    Be alert and aware when you are crossing the street. Do not be distracted by cell phones,

    PDAs or headsets.

    See and be seen. Walk facing traffic.

    Closely watch children and teach them safety rules.

    1.3.6 Reducing Pedestrians Injuries

    Most pedestrian deaths occur due to the traumatic brain injury resulting from the hard

    impact of the head against the stiff hood or windshield. In addition, although usually non-fatal,

    injuries to the lower limb (usually to the knee joint and long bones) are the most common cause

    of disability due to pedestrian crashes. A Frontal Protection System (FPS) is a device fitted to

    the front end of a vehicle to protect both pedestrians and cyclists who are involved in a front end

    collision with a vehicle. Car design has been shown to have a large impact on the scope and

    severity of pedestrian injury in car accidents.

    6

    http://en.wikipedia.org/wiki/Traumatic_brain_injuryhttp://en.wikipedia.org/wiki/Frontal_Protection_Systemhttp://en.wikipedia.org/wiki/Traumatic_brain_injuryhttp://en.wikipedia.org/wiki/Frontal_Protection_System
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    2.0 Objective

    a) To know lane width, shoulder width and meridian width

    b) The analysis will attempt to determine the LOS for road in UTHM.

    3.0 Scope of study

    This study was conducted in area of Tun Hussein Onn Malaysia University (UTHM) at

    Parit Raja, Batu Pahat, Johor Darul Takzim. The specific area is at the intersection of main road

    in the University, which is considered as the busiest way in the UTHM. We made the

    observation on the peak hour of the road for two hours beginning at 8.25 a.m until 10.25 a.m.

    The time interval of the observation is at each of 10 minutes.

    4.0 Literature Review

    4.1 Traffic systems

    Increasingly however, instead of building additional infrastructure, dynamic elements are

    also introduced into road traffic management (they have long been used in rail transport). These

    use sensors to measure traffic flows and automatic, interconnected guidance systems (for

    example traffic signs which open a lane in different directions depending on the time of day) to

    manage traffic, especially in peak hours. Also, traffic flow and speed sensors are used to detect

    7

    DIRECTION:

    Road Study

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    problems and alert operators, so that the cause of the congestion can be determined and measures

    can be taken to minimize delays. These systems are collectively called intelligent transportation

    systems.

    4.2 Available Methods

    Two methods are available for conducting traffic volume counts which is manual and

    automatic. For this study we use a manual traffic volume count.

    4.2.1 Automatic Count Method

    The automatic count method provides a means for gathering large amounts of traffic data.

    Automatic counts are usually taken in 1-hour intervals for each 24-hour period. The counts mayextend for a week, month, or year. When the counts are recorded for each 24-hour time period,

    the peak flow period can be identified.

    Automatic Count Recording Methods

    Automatic counts are recorded using one of three methods: portable counters, permanent

    counters, and videotape.

    Portable Counters

    Portable counting is a form of manual observation. Portable counters serve the same

    purpose as manual counts but with automatic counting equipment. The period of data collection

    using this method is usually longer than when using manual counts. The portable counter

    method is mainly used for 24-hour counts. Pneumatic road tubes are used to conduct this

    method of automatic counts. Specific information pertaining to pneumatic road tubes can be

    found in the users manual.

    8

    http://en.wikipedia.org/wiki/Intelligent_transportation_systemshttp://en.wikipedia.org/wiki/Intelligent_transportation_systemshttp://en.wikipedia.org/wiki/Intelligent_transportation_systemshttp://en.wikipedia.org/wiki/Intelligent_transportation_systems
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    Pneumatic Road Tube and Recorder

    Permanent Counters

    Permanent counters are used when long-term counts are to be conducted. The counts

    could be performed every day for a year or more. The data collected may be used to monitor and

    evaluate traffic volumes and trends over a long period of time. Permanent counters are not a

    cost-effective option in most situations. Few jurisdictions have access to this equipment.

    Videotape

    Observers can record count data by videotaping traffic. Traffic volumes can be counted

    by viewing videotapes recorded with a camera at a collection site. A digital clock in the video

    image can prove useful in noting time intervals. Videotaping is not a cost-effective option in

    most situations. Few small jurisdictions have access to this equipment.

    Automatic Count Study Preparation Checklist

    When preparing for an automatic count study, use the checklist in Table 3.2. This

    checklist may be modified or expanded as necessary.

    4.2.2 Manual Count Method

    Most applications of manual counts require small samples of data at any given location.

    Manual counts are sometimes used when the effort and expense of automated equipment are not

    justified. Manual counts are necessary when automatic equipment is not available.

    9

    Recorde

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    Manual counts are typically used to gather data for determination of vehicle

    classification, turning movements, direction of travel, pedestrian movements, or vehicle

    occupancy.

    The selection of study method should be determined using the count period. The count

    period should be representative of the time of day, day of month, and month of year for the study

    area. For example, counts at a summer resort would not be taken in January. The count period

    should avoid special event or compromising weather conditions (Sharma 1994). Count periods

    may range from 5 minutes to 1 year. Typical count periods are 15 minutes or 2 hours for peak

    periods, 4 hours for morning and afternoon peaks, 6 hours for morning, midday, and afternoon

    peaks, and 12 hours for daytime periods (Robertson 1994).

    For example, if conducting a 2-hour peak period count, eight 15-minute counts would be

    required. The study methods for short duration counts are described in this chapter in order from

    least expensive (manual) to most expensive (automatic), assuming the user is starting with no

    equipment. The study methods for short duration counts are described in this chapter in order

    from least expensive(manual) to most expensive (automatic), assuming the user is starting with

    no equipment.

    Manual Count Recording Methods

    Manual counts are recorded using one of three methods: tally sheets, mechanical

    counting boards, or electronic counting boards.

    Tally Sheets

    Recording data onto tally sheets is the simplest means of conducting manual counts. The

    data can be recorded with a tick mark on a pre-prepared field form. A watch or stopwatch is

    necessary to measure the desired count interval.

    Mechanical Counting Boards

    10

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    Mechanical count boards consist of counters mounted on a board that record each

    direction of travel. Common counts include pedestrian, bicycle, vehicle classification, and traffic

    volume counts. Typical counters are push button devices with three to five registers. Each button

    represents a different stratification of type of vehicle or pedestrian being counted. The limited

    number of buttons on the counter can restrict the number of classifications that can be counted on

    a given board. A watch or a stopwatch is also necessary with this method to measure the desired

    count interval.

    Mechanical Counting Board

    Electronic Counting Boards

    Electronic counting boards are battery-operated, hand-held devices used in collecting

    traffic count data. They are similar to mechanical counting boards, but with some important

    differences. Electronic counting boards are lighter, more compact, and easier to handle. They

    have an internal clock that automatically separates the data by time interval. Special functions

    include automatic data reduction and summary.

    .

    11

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    Electronic Counting Board

    5.0 Methodology

    5.1 Manual Count Method

    Most applications of manual counts require small samples of data at any given location.

    Manual counts are sometimes used when the effort and expense of automated equipment are not

    justified. Manual counts are necessary when automatic equipment is not available.

    Manual counts are typically used for periods of less than a day. Normal intervals for a

    manual count are 5, 10, or 15 minutes. Traffic counts during a Monday morning rush hour and a

    Friday evening rush hour may show exceptionally high volumes and are not normally used in

    analysis; therefore, counts are usually conducted on a Tuesday, Wednesday, or Thursday.

    5.2 Introduction

    Traffic volume studies are conducted to determine the number, movements, and

    classifications of roadway vehicles at a given location. These data can help identify critical flow

    time periods, determine the influence of large vehicles or pedestrians on vehicular traffic flow, or

    document traffic volume trends.

    The length of the sampling period depends on the type of count being taken and theintended use of the data recorded. For example, an intersection count may be conducted during

    the peak flow period. If so, manual count with 15-minute intervals could be used to obtain the

    traffic volume data.

    12

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    5.2.1 Key Steps to a Manual Count Study

    A manual count study includes three key steps:

    1. Perform necessary office preparations.

    2. Select proper observer location.

    3. Label data sheets and record observations.

    5.2.2 Perform Necessary Office Preparations

    Office preparations start with a review of the purpose of the manual count. This type of

    information will help determine the type of equipment to use, the field procedures to follow, and

    the number of observers required. For example, an intersection with multiple approach lanes may

    require electronic counting boards and multiple observers.

    5.2.3 Select Proper Observer Location

    Observers must be positioned where they have a clear view of the traffic. Observers

    should be positioned away from the edge of the roadway. If observers are positioned above

    ground level and clear of obstructions they usually have the best vantage point. Visual contact

    must be maintained if there are multiple observers at a site. If views are unobstructed, observers

    may count from inside a vehicle.

    5.2.4 Label Data Forms and Record Observations

    Manual counts may produce a large number of data forms; therefore, the data forms

    should be carefully labeled and organized. On each tally sheet the observer should record the

    location, time and date of observation, and weather conditions. Follow the data recording

    methods discussed earlier.

    13

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    1. Communicate with other

    staff/departments

    2. Review historical data trends

    3. Review citizen input

    4. Request traffic control

    Prepare

    Select location

    Complete study

    Document

    1. Select the proper location2. Plan the data collection

    preparations

    3. Complete the pre-study

    documentation

    1. Collect the data

    2. Evaluate the data

    3. Calculate the traffic volume

    trends

    1. Finalize the report

    2. File the report

    3. Communicate the results

    `Figure 1 : Traffic Volume Count Steps

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    5.3 Apparatus / Equipment

    1. Measuring Tape / Odometer

    2. Forms HC1, HC2 and HC3

    3. Analogue Counter (optional)

    4. Safety Vest

    5. Safety Cones

    6. Flags

    Flags Stopwatch

    15

    Manual Counter Odometer, Safety Vest, Cone

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    5.4 Procedure

    1. Conduct traffic was counted at the location (1 km in length) for an 2/3hour in segments of

    10minutes. The data was recorded in form HC1.

    2. The lane width, shoulder width and median width was measured using either a measuring

    tape or measuring wheel. The data was recorded in form HC2. [Ensure safety by using the

    safety vest, safety cones and flags to direct traffic and for self protection]

    3. A walk-through survey was conducted of the 1 km section to determine the number of access

    points. The type of median was observed. The data was recorded in form HC2.

    4. The posted speed limit of the multilane highway was recorded in form HC2.

    5. The Free Flow Speed (FFS) was calculated.

    6. The number of lanes (per direction) was recorded in form HC3.

    7. From form HC1, the hourly volume (V) and percentage of heavy vehicles was determined.

    The data was recorded in form HC3.

    8. The Flow Rate (vp) was calculated.

    9. The Density (D) was calculated.

    10. The Level of Service (LOS) was determined and was commented.

    5.5 Information Gathering

    Before a jurisdiction contacts an engineering consulting firm to perform a traffic volume

    count study, a variety of information may need to be collected. Any information may aid the

    consulting firm in adequately completing the study. The following is a list of possibleinformation that an engineering consulting firm may request:

    issue at hand

    historic volume counts

    existing zoning

    proposed future land use

    changes

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    traffic impact statements if

    available

    citizen input

    location map

    appropriate contact

    persons

    any other relevant

    information

    5.6 Examples Of Traffic Volume Count Studies

    5.6.1 Intersection Counts

    Intersection counts are used for timing traffic signals, designing

    channelization, planning turn prohibitions, computing capacity, analyzing

    high crash intersections, and evaluating congestion (Homburger et al. 1996).

    The manual count method is usually used to conduct an intersection count. A

    single observer can complete an intersection count only in very light traffic

    conditions.

    The intersection count classification scheme must be understood by all

    observers before the count can begin. Each intersection has 12 possible

    movements (see Figure 3.6). The intersection movements are through, left

    turn, and right turn. The observer records the intersection movement for each

    vehicle that enters the intersection.

    Intersection Movements

    17

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    5.6.2 Pedestrian Counts

    Pedestrian count data are used frequently in planning applications.

    Pedestrian counts are used to evaluate sidewalk and crosswalk needs, to

    justify pedestrian signals, and to time traffic signals. Pedestrian counts may

    be taken at intersection crosswalks, midblock crossings, or along sidewalks.

    When pedestrians are tallied, those 12 years or older are customarily

    classified as adults (Robertson 1994). Persons of grade school age or

    younger are classified as children. The observer records the direction of each

    pedestrian crossing the roadway.

    5.6.3 Vehicle Classification Counts

    Vehicle classification counts are used in establishing structural and

    geometric design criteria, computing expected highway user revenue, and

    computing capacity. If a high percentage of heavy trucks exists or if the

    vehicle mix at the crash site is suspected as contributing to the crash

    problem, then classification counts should be conducted.

    Typically cars, station wagons, pickup and panel trucks, and motorcycles are

    classified as passenger cars. Other trucks and buses are classified as trucks.

    School buses and farm equipment may be recorded separately. The observer

    records the classification of the vehicles and the vehicles direction of travel

    at the intersection.

    6.0 Result and Data Analysis

    6.1 Speed Analysis

    Direction : UTHM main entrance Weather : Drizzle

    Time : 825 a.m 1025 a.m Day :

    Thursday

    Date : 3 March 2011

    Speed Number of vehicles

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    Class(km/h)

    Vehicle ClassTotal

    1 2 3 40-4 - 4 - - 45-9 4 10 2 3 19

    10-14 21 32 - 2 5515-19 11 28 - 1 4020-24 2 4 - - 625-29 1 2 - - 330-34 1 3 - - 4

    Vehicle Class Traffic Volume

    (vehicles/hour)

    Class 1 (Motorcycles) 40

    Class 2 (Cars) 83

    Class 3 (Vans & Medium Trucks) 2

    Class 4 (Heavy Trucks & Buses) 6

    Total 131

    SpeedClass

    (km/h)

    Upperlimit

    (km/h)

    ClassMidpoint,x (km/h)

    Numberof

    Observation, f

    fx Percentage of

    Observation

    Cumulate

    Percentae

    0 0 0 0 0.00

    0-4 4.5 2 4 8 3.1 3.1

    5-9 9.5 7 19 133 14.5 17.6

    10-14 14.5 12 55 660 41.9 59.515-19 19.5 17 40 680 30.5 90.0

    20-24 24.9 22 6 132 4.6 94.625-29 29.5 27 3 81 2.3 96.9

    30-34 34.5 32 4 128 3.1 100.0

    Total: 131 1822 100.0

    6.1.1 Calculation

    a) Mean Speed = fx

    N

    = 1822

    131

    = 13.9 km/hr

    b) Median Speed = L + [ n/2 ] fL x C

    fM

    19

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    = 19.5 + [ 131/2 ] 21 x 5

    17

    = 32.59 km/hr

    c) Mode speed = From the graph frequency histogram,

    the mode speed is

    15 km/hr to 19 km/hr

    d) 85th Percentile Speed = From the graph cumulative frequency

    distribution curve, the 85th

    percentile speed is 20.9 km/hr

    Frequency Histogram

    20

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    Appendix

    Frequency Distribution Curve

    Cumulative Frequency Distribution Curve

    21

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    6.2 Traffic Volume Calculation

    Form HC1

    Location : UTHM main entrance - Roundabout

    Day : ThursdayDate : 3 / 3 / 2011

    Time : 835 a.m 1035 a.m

    Weather : Drizzle

    Time

    Traffic Count

    Vehicle Class

    1 2 3 4 5

    825 835 24 112 4 7 -

    835 845 24 21 - 6 -

    845 855 21 51 - 4 3

    855 905 29 36 - 3 -

    905 915 23 25 - - 2

    915

    925

    16 26 - 3 3925 - 935 11 28 - 3 -

    945 955 16 28 - 1 -

    955 1005 20 22 - 4 2

    1005 1015 32 25 2 1 15

    1015 1025 19 26 - 1 19

    1025 - 1035 11 19 1 3 5

    22

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    Vehicle Class Traffic Volume

    (vehicles/hour)

    Class 1 (Motorcycles) 419

    Class 2 (Cars) 217Class 3 (Vans & Medium Trucks) 7

    Class 4 (Heavy Trucks & Buses) 36

    Class 5 (Pedestrians) 49

    Total 728

    Form HC2

    FREE FLOW SPEED

    Posted Speed Limit 20.9 km/h

    + 12.3 km/h

    Base Free Flow Speed (BFFS) = 33.2 km/h

    Median Type

    ( Divided / Undivided )

    FM 0.0 km/h

    Lane Width

    = 9.9 meters

    FLW 0.0 km/h

    Shoulder Width = 2.0 metersMedian Width = _ 1.0 meters

    Total Lateral Clearance

    = Shoulder width + Median width

    = 3.0 metersFLC 0.6 km/h

    Access Point Density

    = 2 per km

    FA 1.3 km/h

    Free Flow Speed (FFS) = 31.3 km/h

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    FFS = BFFS FLW FLC FM- FA

    FFS = free flow speed

    BFFS = base free flow speed = 85th percentile speed + 12.3 km/h *fLW = adjustment for lane width (refer to Table 1)

    fLC = adjustment for total lateral clearance (refer to Table 2)

    fM = adjustment for median type (refer to Table 3)fA = adjustment for access point density (refer to Table 4)

    * Forecasted from previous studies which indicated that BFFS on multilanehighways is approximately 11 km/h higher than the speed

    limit for 65 and 70 km/h speed limits, and it is 8 km/h higher for 80 and 90

    km/h speed limits.

    Form HC3

    FLOW RATE

    Volume, V 728 veh/hour

    Peak Hour Factor, PHF ( 0.43

    Number of Lanes, N 2.0

    Terrain Level

    Percentage of HeavyVehicles, PT 4.9

    Passenger Car Equivalent

    For Heavy Vehicles, ET 1.5

    Heavy Vehicle Adjustment

    Factor, fHV 0.98

    Driver Population Factor,

    fP 1.00 )

    Flow Rate (vp) = 863.8

    pc/h/ln

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    vp = 15-min passenger-car equivalent flow rate (pc/hr/ln)

    V = hourly volume (veh/hr)

    PHF = peak hour factorN = number of lanes

    fHV = heavy vehicle adjustment factor

    fp = driver population factor

    ET , ER = passenger car equivalents for trucks or buses (T) and recreational

    vehicles (RV) in the trafficstream (refer to Table 5)

    PT , PR = percentage of truck/buses and RVs in the traffic stream (stated in

    decimals)

    * Neglect PR and ER .

    6.2.1 Calculation

    Base Free Flow Speed (BFFS) = 85th percentile speed + 12.3 km/h= 20.9 + 12.3

    = 33.2 km/h

    FREE FLOW SPEED (FFS) =BFFS FLW FLC FM- FA

    = 33.2 0.0 0.6 0.0 1.3

    = 31.3 km/h

    PEAK HOUR FACTOR, PHF = V / ( Vmax * 4 )

    = 728 / ( 419 * 4 )

    = 0.43

    Percentage of Heavy Vehicles, PT = ( 36 / 728 ) * 100

    = 4.9 %

    Heavy Vehicle Adjustment Factor, fHV

    * Neglect PR and ER .

    fHV = 1 / [ 1 + 0.049(1.5 1) ]

    = 0.98

    15-min PASSENGER-CAR EQUIVALENT FLOW RATE (pc/hr/ln), vp

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    Vp = 728 / ( 0.43 * 2 * 0.98 * 1.00)= 863.8 pc/h/ln

    6.2.2 Results

    1. Free flow speed (FFS) = 31.3 km/h

    2. Flow rate (vP) = 863.8 passenger car/hour/lane

    3. Density (D) = 17 passenger car/km/lane

    D = = 863.8 / 31.3 = 27.60 28 passenger car/km/lane

    vp = flow rate (pc/h/ln)S = average passenger-car speed (km/h)

    4. Level Of Service = LOS E

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    vp

    S

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    6.3 Level Of Service (LOS) Determination

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    7.0 Discussion

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    Level of service

    (LOS) near the

    FUJITSU factory(Batu Pahat Parit

    Raja)

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    Level of service (LOS) is measure used by traffic engineers

    determine the effectiveness of elements of transportation infrastructure. LOS

    is most commonly used to analyze highways, but the concept has also been

    applied to intersections, transit, and water supply.

    As traffic volume increase, the speed of each vehicle is influenced;

    the speed of each vehicle is influenced in a large measure by the speed of the

    slower vehicles. As traffic density increase, appoint is finally reached where

    all vehicles are traveling at the speed of the slower vehicles. This condition

    indicates that the ultimate capacity has been reached. The capacity of a

    highway is therefore measured by its ability to accommodate traffic and is

    usually expressed as the number of vehicle that can pass a given point in a

    certain period of time at a given speed.

    Although the maximum number of vehicle that can be

    accommodated remains fixed under similar roadway and traffic conditions,

    there is a range of lesser volumes that can be handled under differing

    operating condition. Operation at capacity provides the maximum, but as

    both volume and congestion decrease there is an improvement in the level of

    service.

    Level of service is a qualitative measure that describes operational

    conditions within a traffic stream and their perception by drivers and/or

    passengers. Six level of service, A through F, define the full range of driving

    conditions from best to worst, in that order. These levels of service

    qualitatively measure the effect of such factors as travel time, speed, cost,

    and freedom to maneuver, which in combination with other factors,

    determine the type of service that any given facility provides to the userunder the stated conditions. With each level of service, a service flow rate is

    defined. It is the maximum volumes that can pass over a given section of

    roadway while operating conditions are maintained at the specified level of

    serviced.

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    http://en.wikipedia.org/wiki/Transport_traffic_engineeringhttp://en.wikipedia.org/wiki/Transport_traffic_engineering
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    Based from the experiment that we have done, we can

    determine the speed characteristics of traffic at the location that have

    observed. The experiment has done at UTHM to Fujitsu road. Another speed

    characteristics of traffic, we also can justify the problem of speeding at the

    location. At this experiment, the data that has been collected are vehicles

    speed. It was shown at the table. Speed data was be collected according to

    their respective class vehicle.

    There are the classes of vehicles:

    1. Class 1 for motorcycles.

    2. Class 2 for cars

    3. Class 3 for vans and medium trucks.

    4. Class 4 for large trucks and buses.

    From the data, the total number of observation was 131. The speed

    class range for that day was 0 m/s until 34 m/s. From the data, the mean

    speed that we had was 13.9 m/s, and median speed 32.59 m/s. Then, based

    on the histogram of mode speed, the value of mode speed was 15 m/s to 19

    m/s. The 85th percentile speed as obtained from the cumulative frequency

    distribution curve shown is 20.9 m/s.

    8.0 Conclusion

    Conclusion, the objective is to determine the level of service at

    UTHM main road are achieved and the level of service is LOS E. The zone

    is little freedom for driver maneuverability and while the operating speeds

    are still tolerable. This region approaches the condition of unstable flow.

    9.0 Recommendation

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    After identifying the type of road survey, we listed a

    few suggestions. Hopefully, these

    suggestions can help reduce and prevent accidents from occur again.

    Here are the suggestion :

    Enlarging the radius of the roundabout

    Lessen the number of flexible road divider

    Place the speed limit signage at the road.