01152264

Component

https://doi.org/10.3141/2178-13

http://scholar.google.com...uksa&publication_year=2010

Incident duration and traffic recovery time are the two critical periods for any incident management process. Because incident durations are available in postevaluation analyses, the reliability of estimating incident-induced delay depends significantly on the accuracy of recovery time estimation. The dynamics of the traffic system under the combined impact of recurrent and nonrecurrent congestions are complex and thus make it difficult to quantify the incident impact from recurrent congestion. This paper extends the difference-in-travel-time method to estimate traffic recovery time by using both incident and travel time data. The proposed method uses percentile statistics to establish the background conditions that represent travelers’ anticipation under incident-free conditions and then employs the concept of the difference in the travel time and the information from the incident database to estimate traffic recovery time. The variability of estimates of traffic recovery time was also obtained by using the proposed method. The case study conducted by using the proposed method revealed that the method is fairly straightforward and robust in that the “ground truth” representation of incident impacts can be captured without any model assumptions and calibrations. In addition, the method can be used to support the calculation of various measures to monitor the performance of freeway and incident management programs.

01326542

10-3934

English

pp 119-127

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309160490

Print

Figures (7) ; References (16) ; Tables (1)

Case studies; Empirical methods; Freeway operations; Incident management; Traffic incidents; Travel time

Incident duration; Post-incident traffic recovery time

Highways; Operations and Traffic Management; I73: Traffic Control

TRIS, TRB, ATRI

Jan 25 2010 12:00PM

• Analysis of Cascading Incident Event Durations on Urban Freeways
• Comparison of Algorithms for Systematic Tracking of Patterns of Traffic Congestion on Freeways in Portland, Oregon
• Dynamic Toll Concept to Assess Feasibility of High-Occupancy Vehicle Lane on Kyungbu Freeway, South Korea
• Estimation of Freeway Traffic Density with Loop Detector and Probe Vehicle Data
• Exploration of Operational Concepts of Interoperability for Robust Interregional Transportation System Operations
• Freeway Operations, Spatiotemporal-Incident Characteristics and Secondary-Crash Occurrence
• Freeway Sensor Spacing and Probe Vehicle Penetration: Impacts on Travel Time Prediction and Estimation Accuracy
• Heuristic Ramp-Metering Coordination Strategy Implemented at Monash Freeway, Australia
• Local Ramp Metering in Random-Location Bottlenecks Downstream of Metered On-Ramp
• Modeling Accident Duration and Its Mitigation Strategies on South Korean Freeway Systems
• Predicting Freeway Travel Time Under Incident Conditions
• Queue Management Techniques for Metered Freeway On-Ramps (With Discussion)
• Simulation Tool to Assess Impacts of Parameters of Service Patrol Operations
• Spatial Analysis and Modeling of Traffic Incidents for Proactive Incident Management and Strategic Planning
• Stochastic Characteristics of Freeway Traffic Speed During Breakdown and Recovery Periods
• To What Extent Can High-Occupancy Vehicle Lanes Reduce Vehicle Trips and Congestion? Exploratory Analysis Using National Statistics
• Violations Modeling in Studies of Concurrent-Flow Lanes
• What Drives Decisions of Single-Occupant Travelers in High-Occupancy Vehicle Lanes? Investigation Using Archived Traffic and Tolling Data from MnPASS Express Lanes