TY - JOUR
T1 - Integrated transit priority and rail/emergency preemption in real-time traffic adaptive signal control
AU - Mirchandani, Pitu B.
AU - Lucas, David E.
N1 - Funding Information:
The Federal Highway Administration, the National Science Foundation (Grant #CMS-0231458), the Arizona Department of Transportation, and the Cities of Tucson and Tempe have supported parts of this research. The contents of this article reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views of the sponsors of this research. The authors acknowledge the various colleagues, students and collaborators who have worked on the development of RHODES and CAPRI, especially Larry Head, Steve Shelby, Douglas Gettman, and Douglas Crawford of Siemens Intelligent Transportation Systems, Raj Ghaman of FHWA; Jim Decker of the City of Tempe; Tim Wolfe of ADOT; Sarath Joshua of Maricopa Association of Governments (AZ); Charlie Stallard and Larry Owens of ITT Systems and Sciences Corporation; Paolo Dell’Olmo of the University of Roma, “La Sapienza,” Italy; and Suvrajeet Sen, Wenji Wu, Sharad Ramesh, Dasheng Lou, Anna Knyazyan, and Jingquan Li of the University of Arizona. The authors thank also the referees for comments on earlier versions, which considerably improved the article.
PY - 2004/4/1
Y1 - 2004/4/1
N2 - The article discusses a strategy, referred to as Categorized Arrivals-based Phase Reoptimization at Intersections (CAPRI), which integrates transit signal priority and rail/emergency preemption within a dynamic programming-based real-time traffic adaptive signal control system. The system takes as input sensor data, from detectors, automatic vehicle locators, transponders, etc., for real-time predictions of traffic flow, and "optimally" controls the flow through the network using signal phasing. The system utilizes a traffic adaptive signal control architecture that (1) decomposes the traffic control problem into several suhprohlems that are interconnected in a hierarchical fashion, (2) predicts traffic flows, at appropriate resolution levels (individual vehicles, platoons of vehicles, transit vehicles, emergency response units, and trains) to enable proactive control, (3) supports various optimization modules for solving the hierarchical subproblems, and (4) utilizes data structure and computer/communication approaches that allow for fast solution of the subproblems, so that each decision can be implemented in the field within an appropriate rolling time horizon of the corresponding subproblem. Simulation-based analyses illustrate the effectiveness of the CAPRI system.
AB - The article discusses a strategy, referred to as Categorized Arrivals-based Phase Reoptimization at Intersections (CAPRI), which integrates transit signal priority and rail/emergency preemption within a dynamic programming-based real-time traffic adaptive signal control system. The system takes as input sensor data, from detectors, automatic vehicle locators, transponders, etc., for real-time predictions of traffic flow, and "optimally" controls the flow through the network using signal phasing. The system utilizes a traffic adaptive signal control architecture that (1) decomposes the traffic control problem into several suhprohlems that are interconnected in a hierarchical fashion, (2) predicts traffic flows, at appropriate resolution levels (individual vehicles, platoons of vehicles, transit vehicles, emergency response units, and trains) to enable proactive control, (3) supports various optimization modules for solving the hierarchical subproblems, and (4) utilizes data structure and computer/communication approaches that allow for fast solution of the subproblems, so that each decision can be implemented in the field within an appropriate rolling time horizon of the corresponding subproblem. Simulation-based analyses illustrate the effectiveness of the CAPRI system.
KW - Emergency preemption
KW - RHODES
KW - Rail preemption
KW - Traffic control
KW - Transit priority
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U2 - 10.1080/15472450490437799
DO - 10.1080/15472450490437799
M3 - Article
AN - SCOPUS:14744270808
SN - 1547-2450
VL - 8
SP - 101
EP - 115
JO - Journal of Intelligent Transportation Systems: Technology, Planning, and Operations
JF - Journal of Intelligent Transportation Systems: Technology, Planning, and Operations
IS - 2
ER -