A SEQUENTIAL HYPOTHESIS TESTING-BASED DECISION-MAKING SYSTEM FOR FREEWAY INCIDENT RESPONSE
This Innovations Deserving Exploratory Analysis (IDEA) project developed a decision-making system (DMS) for integrated incident detection and response. The system employs sequential hypothesis testing techniques to dynamically optimize incident response decisions. It systematically considers the tradeoffs between the possible costs of a delayed incident response decision and the improved decision-making capabilities that result from delaying action until additional measurements are taken. In the first stage of the research, the mathematical model underlying the DMS was developed and the solution algorithm was implemented using a rolling-horizon framework. In the second stage, the DMS was evaluated using simulation testing for a variety of traffic scenarios. For each traffic condition, the performance of the proposed system was compared to that of a state-of-the-art incident detection algorithm. It was found that the DMS achieved substantially shorter incident response time without increasing the false-response or the non-response rates.
- Record URL:
- Record URL:
- This ITS-IDEA project was conducted by Purdue University.
Washington, DC United States 20001
- Mandanat, S
- Teng, H
- Publication Date: 1995-10-1
- Media Type: Digital/other
- Features: Appendices; Figures; References; Tables;
- Pagination: 16 p.
- ITS-IDEA Program Project Final Report
- Publisher: Transportation Research Board
- TRT Terms: Algorithms; Alternatives analysis; Decision support systems; Emergency response time; Forecasting; Freeway operations; Hypothesis testing; Incident detection; Intelligent transportation systems; Mathematical models; Reaction time; Simulation; Technological innovations
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control;
- Accession Number: 00727279
- Record Type: Publication
- Contract Numbers: ITS-17
- Files: NTL, TRIS, TRB
- Created Date: Oct 15 1996 12:00AM