Effective incident detection, response, clearance and recovery from vehicle disablements and accidents can save commuter hours, fuel and money. This book describes an integrated traffic incident management system and related software designed to facilitate inter-agency communication and help transportation officials co-ordinate response activities so that traffic flow is restored to normal as soon as possible. Using data models and based on real-world research, the book shows how to develop and implement an automated incident management system capable of displaying maps, handling network queries, dispatching response vehicles, estimating incident duration, generating response plans, recommending diversion plans, and facilitating inter-agency communication. Prototype software developed to support group decision-making is described and shows readers how to make the best use of computer technologies such as GIS and expert systems in improving incident management.
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Kaan Ozbay is an assistant professor at Rutgers University. He earned his Ph.D. and M.S. in civil engineering at Virginia Tech University. Dr. Ozbay is a recipient of the Eno Fellowship Award, the author of 25 research proposals, and the principal and co-principal investigator, and project manager of more than 10 ITS projects including the "Wide Area Incident Management " project sponsored by FHWA , and VDOT. Pushkin Kachroo is an assistant professor at Virginia Tech. He obtained his Ph.D. in mechanical engineering from the University of California, Berkeley, is a research engineer at the robotics R&D laboratory at Lincoln Electric Company and a Research Scientist at the Center for Transportation research. Dr .Kachroo has also served as the principal and co-principal investigator of several ITS projects.
Book Description
Effective incident detection, response, clearance, and recovery from vehicle disablements and accidents can save countless commuter hours, gallons of fuel, and thousands of dollars. In this book, the authors describe an integrated traffic incident management system and related software designed to facilitate interagency communication and help transportation officials coordinate response activities so that traffic flow is restored to normal as soon as possible.
Using actual data models and based on real-world research, the book shows you how to develop and implement an automated incident management system capable of displaying maps, handling network queries, dispatching response vehicles, estimating incident duration, generating response plans, recommending diversion plans, and facilitating interagency communication. Prototype software developed to support group decision-making (Wide-Area Incident Management Support System Software) is described and you’re shown how to make the best use of new computer technologies such as GIS and Expert Systems in improving incident management.
Contents: Introduction. Literature Review of Incident Management Systems. Wide-Area Incident Management Support System (WAIMSS) Software. Duration/Delay Prediction. Development of Incident Response Plan. Heuristic Network Generator. Real-Time Traffic Control Using Feedback Control Techniques. Conclusions and Future Research.
Kaan Ozbay is an assistant professor at Rutgers University. He earned his Ph.D. and M.S. in civil engineering at Virginia Tech University. Dr. Ozbay is a recipient of the Eno Fellowship Award, the author of 25 research proposals, and the principal and co-principal investigator, and project manager of more than 10 ITS projects including the "Wide Area Incident Management " project sponsored by FHWA , and VDOT.
Pushkin Kachroo is an assistant professor at Virginia Tech. He is the president of CIS Inc. and is a research scientist for the Automated Highway Systems (AHS) program at Virginia Polytechnic Institute and State University. At the Center for Transportation research, Dr .Kachroo has also served as the principal and co-principal investigator of several ITS projects. He holds a Ph.D. in mechanical engineering from the University of California, Berkeley.
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