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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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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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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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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.