Development and implementation of intelligent transportation systems along highway corridors includes deployment of various, usually considerably expensive technologies. In the area of traffic control, these technologies were used to optimize an array of signal cycle lengths, phasing, splits, and offsets, while considering dynamic traffic conditions (e.g., fluctuations in traffic volume, speed, and density). In order to facilitate cost efficient traffic signal control on New Jersey highways, this study developed computer models to optimize the array of aforementioned variables, evaluate the benefits of optimized array, and determine the resulting level of service prior to actual implementation in the studied corridors. The objective of this study was to assess and optimize corridor performance through enhancements of existing signal timing plans for the studied corridors, which has been achieved through performing the following activities: review, investigate, and summarize the state-of-the-art methodologies for signal optimization; identify studied corridors and collect necessary data for developing signal optimization and traffic simulation models; develop computer models to optimize traffic signal cycle lengths, phasing, splits, and offsets for the studied corridors; develop simulation models to simulate and assess the recommended signal timings prior to field implementation on the studied corridors; assist NJDOT in producing timing directives for recommended signal timings; and provide training and technology transfer to NJDOT. In this study, SYNCHRO (version 5.0) was applied to evaluate the operations of traffic control systems for individual or group of intersections along the corridor. However, due to the dynamic nature of traffic operations, the results of SYNCHRO are not effective in responding to continuously changing real-time traffic conditions. Therefore, SimTraffic was applied to validate the results of SYNCHRO. With SYNCHRO and SimTraffic, before and after scenarios for implementing the optimized signal timings were assessed, while the 'savings' in travel times, number of stops, fuel consumption, and vehicle emissions were calculated.
Computer Modeling and Simulation of New Jersey Signalized Highways. Volume I. Optimization
2005
160 pages
Report
No indication
English
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