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Advanced Traffic Signal Control Algorithms, PB2014-108744.
| 题名： | Advanced Traffic Signal Control Algorithms, PB2014-108744. |
| 作者： | Skabardonis, A. |
| 关键词： | Annealing; Automatic Traffic Control; Characteristics; Combinations; Comprehensive Experiments; Cycle Length Optimization; Genetic Algorithms; Iterative Approaches; Mathematical Model; Problem Algorit |
| 摘要： | The goal of this project is to develop advanced signal control strategies for mobility, safety, and environment based on connected vehicle data, i.e., real-time information on vehicles location, speed and characteristics as well as communication to the signal control infrastructure. The final report for the project describes the findings from the literature review on existing adaptive signal control systems, their features and operational experiences from their implementation. Several performance measures are proposed for evaluating signal control algorithms, and procedures for estimating the performance measures from connected vehicle data were developed using statistical techniques and kinematic wave theory. This project developed and tested through simulation a number of control strategies to improve mobility: queue spillback avoidance, control for congested networks, and dynamic lane allocation. The results indicated that the proposed strategies improve the traffic performance. This project also developed strategies for improving intersection safety with emphasis on avoidance of red light running (RLR) related collisions. A prototype in-vehicle driver speed advisory system for minimum fuel consumption and emissions was also developed. Field tests show that the prototype system achieved significant fuel savings. |
| 报告类型： | 科技报告 |
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