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Incident-Management Incident-Management In Central Arkansas – In Central Arkansas – An ITS Application An ITS Application Federal-aid Project Number: ITSR(001) Federal-aid Project Number: ITSR(001)

Y.Chan A.Fowe AHTD Presentation

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Incident-Management Incident-Management In Central Arkansas –In Central Arkansas –

An ITS ApplicationAn ITS ApplicationFederal-aid Project Number: ITSR(001)Federal-aid Project Number: ITSR(001)

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Motorists

An Integrated and Shared System

IncidentS

ystem

Operator

s

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Incident Management Activities

• Motorist Assistance Patrol– 3 vehicles operating on I-30, I-40, I-630, I-430, and I-440 in the urbanized

area.– Proposed to provide some coverage of both US 67/167 and I-530, from

I-30 to Dixon Road • Towing and Wrecker Service

– A rotation list of qualified towing and wrecker services.– Current procedures do not specify a minimum response time.

• Emergency Medical Services (EMS)– 911 calls– Communications upgrades are needed.

• Traffic Management at Work Zones– Queue detectors – Variable message signs (VMS) and highway advisory radio (HAR)

• Traveler Information System– 511 calls

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Goals of Our Study

Model the distribution of incidents

Investigate advanced incident detection techniques

Choose the appropriate incident-response strategies

Perform Benefit/Cost (B/C) analysis

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Incident Management Model

1. Provide a good tactic to allocate available response vehicles to serve reported incidents.2. Pay attention to potential incidents in ensuring a certain level of reliability in delivering quality service.3. The model helps to reduce the negative impact of incidents as much as possible.

7Potential workload at f =40

10

4030

50f(1)

v(2)

2

1

Reported & potential Incidents

Risk = 20%

Workload = 3×20 min

Potential workload at v=20

Delay at f = 80 min (including response time)

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Comparison between Current and Proposed

Current Proposed

Total Number of Vehicle Dispatches

66,757 66,757

Total Delay Cost (veh-min)

259,787,280 208,343,664

Mean of Work Time (min) 34.54 27.90

Standard Deviation of Work Time (min) 0.79 0.67

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Shortest Paths, Delays, and Risks

LINK ESTIMATES AND FORECASTING: A Case Study

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I-630

I-30

I-40

I-430

I-440

US HWY 65/167

FIFO path

Non-FIFO path

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Should s/he be more interested in arriving at the destination the fastest way, his/her regular non-FIFO travel time (24.9 minutes) is the expected value of taking the risk, with the concomitant savings in travel time. As a risk-averse person, the non-FIFO/Risk-Avoiding driver is willing to pay the difference between the certainty equivalent and this expected value to ensure safety, or (27.8 − 24.9) = 2.9 min.

To Impute the Value of Safety

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Actual

0

5

10

15

20

10 20 30 40 50

( - )T Ti m e P e r i o d

Excecut ion Time

Theoritical

0

20

40

60

80

10 20 30 40 50

T (Time-Period)

Execu

tio

n t

ime(s

ec)

ExcecutionTime

Exe

cutio

n tim

e (s

ec.)

Actual

Theoretical

- 5- in min increments

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Functional ICC/TMC

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Technical Partners (in alphabetical order)

• Gary Dalporto, Joseph Heflin, & Sandra Otto, FHWA• Scott Bennett, Mark Bradley, Marc Maurer & Alan

Meadors, AHTD• Karen Bonds, AR State Police• David Taylor & Brian Nation, Arkansas Department of

Health and Human Services• Casey Covington, Minh Le, Richard Magee, & Jim

McKenzie, Metroplan• Bill Henry & Jerry Simpson, City of Little Rock• Doug Babb, Routh Towing Service

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Key Team Members

• Gregory Browning • Yupo Chan • Isabel Farrel • Adeyemi Fowe • Jian Hu • Heath McKoin • Weihua Xiao • Ildeniz Yayla

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Publications

• Hu, J. and Chan, Y., “A Multi-criteria Routing Model for Incident Management,” Proceedings of the IEEE International Conference on SMC, Sept. 2005, Hawaii, pp. 832-839.

• Hu, J. and Chan, Y., “Stochastic Incident-Management of Asymmetrical Network-Workloads,” TRB Pre-print 06-1596, 85th Annual Meeting of the Transportation Research Board, Washington D.C. January 22-26, 2006.

• Hu, J. and Chan, Y. "A Dynamic Shortest-Path Algorithm for Continuous Arc Travel-Times: Implication for Traffic Incident Management.” Transportation Research Record: No. 2089, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 51–57.

• Hu, J. and Chan, Y. "Dynamic Routing To Minimize Travel Time And Incident Risks", Paper No. 485, 10th International Conference on Applications of Advanced Technologies in Transportation, Athens, Greece, 27-30, May, 2008.

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Thanks. Any Question?

http://syen.ualr.edu/metalab