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The Multi Modal Intelligent Transportation System (MMITSS): Connected Vehicle Capabilities for Transit/Streetcars Larry Head University of Arizona February 27, 2019 Tucson, AZ American Public Transportation Association Streetcar Subcommittee 2019 Mid-Year Meeting 1

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Page 1: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

The Multi Modal Intelligent Transportation System

(MMITSS): Connected Vehicle Capabilities for

Transit/Streetcars Larry Head

University of Arizona

February 27, 2019 Tucson, AZ

American Public Transportation Association

Streetcar Subcommittee 2019 Mid-Year Meeting

1

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2

Connected Vehicles

• Purpose: • Safety • Mobility • Environment

• Basic Safety Message (BSM)

• Temporary ID (ensure privacy) • Position (GPS) • Motion

• Speed • Heading • Steering Wheel Angle • Acceleration

• Brakes • Vehicle Size • Mode (vehicle, transit, truck, EV,…)

DSRC 5.9 GHz Wireless

Basic Safety

Message (SAE J2735 BSM)

Broadcast 10 times/second

(10 HZ)

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3

Connected Vehicles and Infrastructure Systems

Vehicle(s)…

On Board Unit (OBU) After Market Safety Device (ASD)

+

Connected Vehicle Equipment

Connected Vehicle Infrastructure Equipment

Road Side Unit (RSU)

Cooperative Applications: • Transit Priority • Truck Priority • Emergency Vehicle Priority

DSRC 5.9 GHz Radio • BSM/SRM • Signal Phase and Timing (SPaT) • MAP

MAP Data Digital Description of Roadway

(D. Kelley, 2012)

Page 4: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

Connected Vehicle Infrastructure Equipment

Road Side Unit (RSU)

SAE J2735 Message Set SAE J2945/0 Minimum Performance Requirements

Connected Vehicles Technology, Equipment and Standards

5.9 GHz DSRC Wireless IEEE 1609

DSRC Roadside Unit (RSU) Specifications Document v4.1 (USDOT October 31, 2016)

Ethernet IEEE802.3

NTCIP 1202, 1211 Messages

Page 5: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

The Multi Modal Intelligent Traffic Signal System Program

• University of Arizona • Larry Head (PI) • Sherilyn Keaton (Software Manager) • GRA: Niraj Altekar, Debashsis Das • National Academies: Medhi Zamanapour (FHWA, PhD 2016)

• PATH/UC Berkeley • Kun Zhou (co-PI) • Huadong Meng (Research Engr) • John Spring (Software Engr) • David Nelson (Hardware Engr)

• Maricopa County DOT • Faisal Saleem, April Wire, LeShawn Charlton

• California DOT • Greg Larson

5

Funded as Connected Vehicle Pooled Fund Project (FHWA, MCDOT, Caltrans, VDOT, FDOT, MnDOT, TxDOT,…)

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A Traffic Control System

MMITSS Basic Concepts

6

Section 1 • Priority for

• Freight Priority Hierarchy • Rail Crossings • Emergency Vehicles • Freight • Coordination • Transit

• BRT • Streetcar • Express • Local (Late)

• Passenger Vehicles • Pedestrians

Presenter
Presentation Notes
Consider a system of traffic signals that is segregated into different traffic control sections. For example, assume Section 1 is in an area where there are commercial factories and warehouses and there is significant freight movement. The operating agency might decide to provide freight signal priority in this corridor by setting up a priority hierarchy that provides priority for rail and emergency vehicles first, then for freight vehicles over transit and pedestrians.
Page 7: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

A Traffic Control System

MMITSS Basic Concepts

7

Section 2 • Priority for

• Streetcar • Pedestrians

Priority Hierarchy • Rail Crossings • Emergency Vehicles • Transit

• Streetcar • BRT • Express • Local (Late)

• Pedestrians • Passenger Vehicles • Freight

Presenter
Presentation Notes
In a different section of the systems, a section where there is significant transit and pedestrian travel might be given a higher level of priority than freight. The priority hierarchy in this section might be set up for rail, emergency vehicles, then transit, pedestrians, and then freight.
Page 8: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

A Traffic Control System

MMITSS Basic Concepts

8

Real-Time Performance Measures – by MODE, by movement • Volume (mean, variance) • Delay (mean, variance) • Travel Time (mean, variance) • Throughput (mean, variance) • Stops (mean, variance)

Presenter
Presentation Notes
A key capability of MMITSS is the ability to use connected vehicle data to OBSERVE performance of the system. A variety of performance measures can be observed, including volume, delay, travel time, throughput, stops, and other important measures. These measures can be classified by mode of travel and movement at an intersection or in the control section.
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MMITSS Priority Control

• Integrated approach to Signal Control and Prioritization

• Consistent with NTCIP SCP 1211 Standard (2014)

• Key Features • Accommodate Multiple Active Priority Requests from

Different Modes • N-Level Priority Hierarchy

• Coordination within the Priority Control Framework

March 6, 2019 9

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MMITSS Architecture

10

Page 11: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

MMITSS Characteristics

• Uses Connected Vehicle Data • BSM, MAP, SRM, SSM, (SPaT)

• ISIG: Adaptive Control • RT-TRACS, RHODES, COP, OPAC,…

• PRIORITY (EVP, TSP, FSP): Priority Request Server (MRP)/Generator (OBU) • NCHRP 3-66, NTCIP 1211

• PEDSIG • Smartphone APP

11

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Development MMITSS (AZ) Software Architecture

MAP Data

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Basic Operational Concept: Priority Control

• When a [streetcar] vehicle enters/remains in the range of an RSU 1. Hears (Listens for…)

o MAP/SPaT o WAVE Service Announcement (go to channel XX to talk)

2. Computes Position on MAP, Desired Service Time (ETA), Desired Ingress and Egress (known for streetcar!)

3. Sends a Signal Request Message (SRM) 4. Receives Signal Status Message (SSM* - confirmation) 5. Passes through intersection 6. Sends a Cancel Signal Request Message (SRM)

13

Additional Details

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14

Arizona Connected Vehicle Test Bed Anthem, AZ

DSRC Installations: 11 Signalized Intersection 6 Freeway Interchanges1 10 Freeway Locations1

Approx. 25,000 Residents Approx. 10,000 Vehicles

1Expansion Project (ADOT)

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Freight Signal Priority (FSP) - Simulation

• MC-85 Maricopa County • 19 Signalized Intersection

Page 16: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

FSP: Simulation Estimates of Benefits (with MMITSS at 8/19 Signals)

• Reduced Stops by 20% • Reduce the Impact on Pavement • Reduce acceleration – Improved Air Quality • Less Delay

• Improved “Smoothness” of Traffic Flow

0 2.0

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17

The “Impact” of Connected Vehicles/MMITSS

MMITSS Project Discussion/Plan

MMITSS Project Proposal Developed

MMITSS Project Active

MCDOT (19+11) ADOT (14)

UDOT (35)

PAG/Tucson (10)

THEA CV Pilot Project

#SMARTCOLUMBUS (FSP)

San Diego Port (FSP)

MNDOT (RFP)

Portland NTIC (Streetcar)

Caltrans/Menlo Park (11)

Page 18: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

Portland Deployment

• Deploy on the “Art Museum Corridor”

• 2 streetcars, 4 intersections

• Simple goals: get the hardware installed, functioning; get data transferring to PORTAL; build initial analytics

Portland State University City of Portland University of Arizona

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MMITSS Project Status

Phase 1: Concept of Operations, Requirements and High Level Design March 2012 – March 2013 Produced Concept of Operations, Requirements Document and High Level

Design Document http://www.cts.virginia.edu/cvpfs_research/

Phase 2: System Development, Deployment and Field Test October 2013 – April 2015 Developed MMITSS-AZ and MMITSS-CA Conducted Field Demonstrations and Impact Assessment of MMITSS-AZ

(Leidos) Software available through USDOT OSADP

(https://www.itsforge.net/index.php/community/explore-applications#/30/63)

• Phase 3: Deployment Readiness Enhancements • February 2018 – July 2019 • Improve software maturity, deployment support, user support MMITSS Development Group (MDG) for open source development

community

19

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Incident Ahead Alert!

Construction Zone Alert!

School Zone Alert!

Other v2i Applications

Emergency Vehicle Alert!

Intelligent Traffic Signal System

Emergency Vehicle Alert!

20

Page 21: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

V2V - Emergency Vehicle Alert • V2X Communication of Location/Speed of Emergency

Vehicles • In-vehicle Alert

• ”Behind You” • ”Approaching Intersection from Left” • …..

Houston, TX, March 30, 2009

Page 22: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

Challenges and Opportunities

• Challenge: FCC Allocation of 5.9GHz Spectrum is under attack

• WIFI Industry wants to stream movies and have more WIFI access

• 5GAA wants to use part of the spectrum for deployment of LTE (they call it 5G, but lets be honest)

• We aren’t using the spectrum to its full advantage • Office of Management and Budget (OMB) moved the NHTSA

Mandate to a long term priority (no new regulations or to get one, remove two)

• Opportunity: DSRC is in FCC regulations. Legally it is

the only available solution • It works • It is effective • We can deploy!

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23

Questions? Discussion

Larry Head University of Arizona

Transportation Research Institute University of Arizona

[email protected] (520) 621-2264

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• Backup Slides for MMITSS

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Traffic Control Terminology

25

Movements Phases Detectors Fixed Time Actuated Coordinated Coordinated-Actuated

Dual Ring, 8-Phase Controller

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A Core Logic Model

1 2

5 6

34

7 8

Barrier

Barrier

Dual Ring Controller (Core Logic)

Precedence Diagram

11t

1 11 1t v+

14t

1 13 3t v+

1 2

5 6

3 4

7 8

1 2

5 6

3 4

7 815t

1 15 5t v+ 1

6t

1 16 6t v+

12t

1 12 2t v+ 1

3t

17t

18t

1 17 7t v+

1 14 4t v+

1 18 8t v+

21t

2 21 1t v+

25t

2 25 5t v+

26t

2 26 6t v+

22t

2 22 2t v+

24t

2 23 3t v+

23t

27t

28t

2 27 7t v+

2 24 4t v+

1 28 8t v+

Cycle 1 Cycle 2

(works for general precedence relationships – not just dual ring)

26

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Phase Logic

py pr

pscppext

min p

amin p

w p

fdw p

dw p

11t

1 11 1t v+

14t

1 13 3t v+

1 2

5 6

3 4

7 815t

1 15 5t v+ 1

6t

1 16 6t v+

12t

1 12 2t v+ 1

3t

17t

18t

1 17 7t v+

1 14 4t v+

1 18 8t v+

27

Every phase is composed of intervals that control how phases are timed

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Phase Configuration and Real-time Data

11t

1 11 1t v+

14t

1 13 3t v+

1 2

5 6

3 4

7 815t

1 15 5t v+ 1

6t

1 16 6t v+

12t

1 12 2t v+ 1

3t

17t

18t

1 17 7t v+

1 14 4t v+

1 18 8t v+

28

Priority requests Vehicle/ped calls Preemption calls

Advanced detection data

Structural Parameters

Real-time Demand parameters

X X X X X X

Phase 1 2 3 4

Min 12 15 10 10

Max 45 45 30 30

Recall Omit, etc.

Timing Values

Precedence Network Model

Flags

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Requests for Priority • Preemption

• Heavy Rail • Emergency Vehicles*

Priority Buses Pedestrians Trucks Special Vehicles Evacuation

Request for Phase 8 at t=38

11t

1 11 1t v+

14t

1 13 3t v+

1 2

5 6

3 4

7 8

1 2

5 6

3 4

7 815t

1 15 5t v+ 1

6t

1 16 6t v+

12t

1 12 2t v+ 1

3t

17t

18t

1 17 7t v+

1 14 4t v+

1 18 8t v+

21t

2 21 1t v+

25t

2 25 5t v+

26t

2 26 6t v+

22t

2 22 2t v+

24t

2 23 3t v+

23t

27t

28t

2 27 7t v+

2 24 4t v+

1 28 8t v+

Cycle 1 Cycle 2

18 38R =

29

Delay Delay

Page 30: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

Multiple Requests for Priority

Time0t = 28t = 43t =

11t

1 11 1t v+

14t

1 13 3t v+

1 2

5 6

3 4

7 8

1 2

5 6

3 4

7 815t

1 15 5t v+ 1

6t

1 16 6t v+

12t

1 12 2t v+ 1

3t

17t

18t

1 17 7t v+

1 14 4t v+

1 18 8t v+

21t

2 21 1t v+

25t

2 25 5t v+

26t

2 26 6t v+

22t

2 22 2t v+

24t

2 23 3t v+

23t

27t

28t

2 27 7t v+

2 24 4t v+

1 28 8t v+

30

Phase 1 Phase 2 Phase 3 Phase 4

Phase 5 Phase 6 Phase 7 Phase 8

There could be many requests from many vehicles

Page 31: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

Model Formulation

31

Page 32: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

Precedence Constraints

11t

1 11 1t v+

14t

1 13 3t v+

1 2

5 6

3 4

7 8

1 2

5 6

3 4

7 815t

1 15 5t v+ 1

6t

1 16 6t v+

12t

1 12 2t v+ 1

3t

17t

18t

1 17 7t v+

1 14 4t v+

1 18 8t v+

21t

2 21 1t v+

25t

2 25 5t v+

26t

2 26 6t v+

22t

2 22 2t v+

24t

2 23 3t v+

23t

27t

28t

2 27 7t v+

2 24 4t v+

1 28 8t v+

32

1115

2 1 1

6 5 5

3 2 2 3 6 6

7 2 2 7 6 6

4 3 3

8 7 71

1 4 4 1 8 81

5 4 4 5 8 8

00

,,

1, ,,, 1, , 1

k k k

k k k

k k k k k k

k k k k k k

k k k

k k k

k k k k k k

k k k k k k

ttt t vt t vt t v t t vt t v t t vt t vt t v for k Kt t v t t vt t v t t v for k K

+

+

=== += += + = += + = += += + == + = += + = + = −

Page 33: The Multi Modal Intelligent Transportation System (MMITSS): …heritagetrolley.org/images/presentations/20190227_Head... · 2019-03-06 · The Multi Modal Intelligent Transportation

Phase Duration Constraints

where,

is a vector of phase parameters (min, max, walk, dfw, ext,...) is a vector of phase flags (recall, omit, etc.), and is a vector of real-time phase calls (vehicle, ped), and are binary ink

psω

ΩΦ

terval decision variables (skip, don't skip)

33

0,( , , , ) ( , , , ), for all and

kp

k k k k kp p p p p

tg s g g s p kω ω≥Ω Φ ≤ ≤ Ω Φ

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Phase Interval Constraints

py pr

pscppext

min p

amin p

w p

fdw p

dw p

min (1 min R ),in (1 min ), (1 ) (1 )( ) (1 ),

max max

p pk

kp p pkp p p

p p p p

p p

D XDam Cphs Sag Max SC XomitDw Dfdw Cped SpedD X R

• − • − = • − • − + • • −

( ) max max , ( ) (1 ) (1 )kp p p p p p pg D Dw Dfdw Cped SC Xomit= + • • − • −

Notation___ Phase Parameters ( )___ Phase Flags ( )___ Phase Calls ( )__ Phase Skip Decision Variablek

p

DXCS

ω

= Ω= Φ==

34

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Service Phase Selection Constraints

,,

,,

0,1 serve Request before phase ( ) in the cycle

0,1 serve Request during phase ( ) in the cycle

j kp e

th

j kp s

th

jp k

jp k

θ

θ

1pt 1 1

p pt g+ 2pt 2 2

p pt g+ 2pt 2 2

p pt g+0t =

,1,

jp eθ ,1

,jp sθ ,2

,jp eθ ,2

,jp sθ ,3

,jp eθ

,3,

jp sθ

p

jR

, ,, , 1

for every priority request

j k j kp e p s

kjpR

θ θ+ =∑

35

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Service Phase Selection Constraints

36

1 ,1,

1 1 ,1 ,1, ,

2 ,1 ,1 ,2, , ,

2 2 ,1 ,1 ,2 ,2, , , ,

3 ,1 ,1 ,2 ,2 ,3, , , , ,

3 3

( 1)( 1)( 1)( 1)( 1)

j jp p p e

j j jp p p p e p s

j j j jp p p e p s p e

j j j j jp p p p e p s p e p s

j j j j j jp p p e p s p e p s p e

jp p p

t R Mt v R M

t R Mt v R M

t R Mt v R

θθ θθ θ θθ θ θ θθ θ θ θ θ

− ≥ −+ − ≥ + −

− ≥ + + −+ − ≥ + + + −

− ≥ + + + + −+ − ≥ ,1 ,1 ,2 ,2 ,3 ,3

, , , , , ,( 1)j j j j j jp e p s p e p s p e p s Mθ θ θ θ θ θ+ + + + + −

1 ,1,

1 1 ,1 ,1, ,

2 ,1 ,1 ,2, , ,

2 2 ,1 ,1 ,2 ,2, , , ,

3 ,1 ,1 ,2 ,2 ,3, , , , ,

3 3

( ) ( )( )

( ) ( )( )

( )

j jp p p e

j j jp p p p e p s

j j j jp p p e p s p e

j j j j jp p p p e p s p e p s

j j j j j jp p p e p s p e p s p e

jp p p

R t MR t v M

R t MR t v M

R t MR t v

θθ θθ θ θθ θ θ θθ θ θ θ θ

− ≥ −− + ≥ − +

− ≥ − + +− + ≥ − + + +

− ≥ − + + + +− + ≥ − ,1 ,1 ,2 ,2 ,3 ,3

, , , , , ,( )j j j j j jp e p s p e p s p e p s Mθ θ θ θ θ θ+ + + + +

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Total Priority Delay

1pt 1 1

p pt v+ 2pt 2 2

p pt v+ 2pt

0t =

1eθ

1sθ

2eθ

2sθ 3

eθ3sθ

p

jR j jkp p pD t R= −

( )

,,

,

( )j k k jp e p p

p j k

Minimize D t Rθ= −∑∑

37

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Some Issues/Enhancements

• Model is mixed integer-nonlinear • Model doesn’t account for coordination

behavior • Model results in fixed time control, e.g.

phases are not actuated based on vehicles calls (detection)

• Priority requests are points in time, in reality there is uncertainty in arrival times (Robust)

• Solution uses commercial solvers (CPLEX)

38

Qing He, PhD, July 2010

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Deterministic. MILP Formulation (revised from Head et al. 2006)

39

∑ kp,j, jpkDMinimize: total priority delay

Subject to 01 =tE

0=+ kk dBtA

0)('1 =+++ kkk dtBtD

kpjMgtR jpkpkpkjp ,,)1( ∀−++≤ θ

kpjMgtR jpkkpkpjp ,,)1(1,1, ∀−−+≥ −− θ

kpjk jpk ,,1 ∀=∑ θ

kpjjpk ,,1,0 ∀∈θ

kpjMRtD jpkjppkjpk ,,)1( ∀−−−≥ θ

kpjDjpk ,,0 ∀≥

Delay for jth request with phase p, served in cycle k.

jpkD

jpR Arrival time for jth request with phase p.

=10

jpkθ If jth request with phase p is served in cycle k.

Data: jpR

kpggg pkpkpk ,maxmin ∀≤≤

minpkg max

pkg

Variable: jpkD pkt pkg jpkθ

Precedence constr.

Serving cycle selection constr.

Delay evaluation constr.

Phase duration constr.

4 7

2 5

3 8

6 1

1 2 3 4

5 6 7 8

Ring 1

Ring 2

Group 1 Group 2 Barrier

Barrier

Dual-ring, eight-phase controller

1 5

2

6

1

5

2

6

3

7

4

8

3

7

4

8

Cycle 1 Cycle 2

11t

51t

21t

61t

31t

71t

41t

81t

12t

52t

22t

62t

32t

72t

42t

82t

Precedence graph representation

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Serving Priority Requests – Phase Time Diagram

Request for Phase 2 at Time 50

Request for Phase 8 at Time 60

Request for Phase 3 at Time 120

Request for Phase 2 at Time 170

X X

X X Delay

Delay

40

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Serving Priority Requests – Phase Time Diagram

Request for Phase 2 at Time 50

Request for Phase 8 at Time 60

Request for Phase 7 at Time 120

Request for Phase 2 at Time 170

No Delay

Delay

O

X

X

No Delay

41

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42

Flexible Implementation Algorithm (Zamanipour et al., 2016)

• Critical points for one request

< Zamanipour’s Ph.D final defense slide>

CLP1: max FL1, BL3 CLP2: max FL2, BL2 CLP3: max FL3, BL1 CLP4: BR1 CRP1: min FR1, BR4 CRP2: min FR2, BR3 CRP3: min FR3, BR2 CRP4: BR1 Time (second)

Pha

ses i

n Ri

ng 1

P1

10 20 300 40 50 60

P2

P3

P4

P1

jm

CLP1

CLP2

CLP3

CRP1

CRP2

CRP3

CRP4

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43

Source: Leidos Field Test Plan

Field Testing Scenarios, March 3rd and 4th: Designed and Conducted by Leidos (IA Contractor)

• 2 trucks with priority in

northbound/southbound

• 2 buses with priority in

eastbound/westbound

• 10 rounds of testing

• 6 regular vehicles

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44

Field Test Result for Transit Priority

0200400600800

10001200

1 2 3 4 5 6 7 8 9 10

TT (s

ec)

Round

Transit #1

With Priority Without Priority

0200400600800

10001200

1 2 3 4 5 6 7 8 9 10

TT (s

ec)

Round

Transit #2

With Priority Without Priority

Baseline (2 buses without Priority Requests for 10 Round

Trips)

TSP (2 buses with Priority

Requests for 10 Round Trips)

Improvement

(%)

Average TT (sec) 850.12 762.56 -10.3

TT Standard Deviation

91.13 53.48 -41.3

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Time-Space Diagram without MMITSS

• Daisy Mountain and Gavilan Peak Northbound Movement • Number of Stops: 5, Number of Queue Encounters:1

• Using BSMs sent from Truck #1

45

-300

-200

-100

0

100

200

300

1.426E+09 1.426E+09 1.426E+09 1.426E+09 1.426E+09 1.426E+09 1.426E+09 1.426E+09

Spac

e (m

)

Time (Epoch Value)

Truck #1 Wednesday Afternoon: 1:30 pm - 5:00 pm

Round #1

Round #2

Round #3

Round #4

Round #5

Round #6

Round #7

Round #8

Round #9

Round #10

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Time-Space Diagram with MMITSS • Daisy Mountain and Gavilan Peak Northbound Movement

• Number of Stops: 1, Number of Queue Encounters: 2 • Using BSMs sent from Truck#1

46

-300

-200

-100

0

100

200

300

1.425E+09 1.425E+09 1.425E+09 1.425E+09 1.425E+09 1.425E+09 1.425E+09 1.425E+09

Spac

e (m

)

Time (Epoch Value)

Truck #1 Tuesday Afternoon: 1:30 pm - 5:00 pm

Round #1

Round #2

Round #3

Round #4

Round #5

Round #6

Round #7

Round #8

Round #9

Round #10

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47

Findings for Freight Priority

050

100150200250300

1 2 3 4 5 6 7 8 9 10

TT (s

ec)

Round

Trucks #1

With Priority Without Priority

0

50

100

150

200

250

1 2 3 4 5 6 7 8 9 10

TT (s

ec)

Round

Trucks #2

With Priority Without Priority

Baseline (2 trucks without Priority for

10 Round Trips)

FSP (2 trucks with Priority for 10

Round Trips)

Improvement

(%)

Average TT (sec) 182.42 175.44 -3.84 TT Standard

Deviation 36.28 28.37 -21.78

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MMITSS Pedestrian Smartphone App

MMITSS Pedestrian Smartphone app

Allows Pedestrian to receive auditory and haptic feedback • Align with Crosswalk • Send Call for Service • Be given WALK • PedCLEAR Countdown

Savari SmartCross (SBIR) Application Architecture Sara Khosravi, PhD Student

Presenter
Presentation Notes
One of the most popular components of MMITSS is the Pedestrian Smartphone application. This application allows pedestrians, especially disabled pedestrians, to request pedestrian service (e.g. WALK, FLASHING DON’T WALK) using only a smartphone. This is very important to visually disabled pedestrians who find the traffic signal environment challenging. The pedestrian application can help a traveler align with the crosswalk – by orienting the smartphone towards the crossing direction, the send a call for service, to be notified when the WALK interval and FLASHING DON’T WALK (pedestrian clearance) interval start and end. This is done using both auditory and haptic signals. Disabled pedestrians have told us that having the smartphone is very important to them. Existing infrastructure systems often provide varying formats of information and with the smartphone they can be ensured of consistent interface to assist them in their travels.
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Latency vs. Communications Technologies For IntelliDriveSM

Late

ncy

(in se

cond

s)

Active Safety Latency Requirements (secs) Traffic Signal Violation Warning 0.1 Curve Speed Warning 1.0 Emergency Electronic Brake Lights 0.1 Pre-Crash Sensing 0.02 Cooperative Forward Collision Warning 0.1 Left Turn Assistant 0.1 Lane Change Warning 0.1 Stop Sign Movement Assistance 0.1

Most Stringent latency requirement for Active Safety

(.02 sec)

Note: Y-axis not to scale for illustration purposes

Least stringent latency requirement for Active Safety

( 1 sec)

Data source: Vehicle Safety Communications Project – Final Report

Communications Technologies

.02

5.0

1.0

2.0

3.0

10 20 40 60

4.0 WiFi 802.11 (3 - 5 secs)

Terrestrial Digital Radio & Satellite Digital Audio Radio

(10 - 20 secs)

WiMax (1.5 - 3.5 secs)

Bluetooth (3 - 4 secs)

Two-Way Satellite (60+ secs)

5.9 GHz DSRC (.0002 secs)

Cellular (1.5 - 3.5 secs)

.01

49

From US DOT Briefings on Connected Vehicle

March 25, 2016

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WAVE Communications

50

Source: Delgrossi, L. and T. Zhang, Vehicle Safety Communications: Protocols, Security, and Privacy, Wiley, 2012.

High Availability Low Latency

High Power Long Range (Public Service)

Selected MMITSS Priority Channel

WSA – WAVE Service Announcement

SRM SSM

BSM 10 Hz MAP 1 Hz SPaT 10 Hz EVA 1 Hz RSA 1 Hz

Service on Channel (PSID+PSC)

Public Service Emergency

176