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MAXBAND Version 3.1: Heuristic and optimal approach for setting the left turn phase sequences in signalized networks
| 题名： | MAXBAND Version 3.1: Heuristic and optimal approach for setting the left turn phase sequences in signalized networks |
| 作者： | Rathi, A.K.;Pillai, R.S.; |
| 关键词： | 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION ;99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; TRAFFIC CONTROL; M CODES; URBAN AREAS; ENERGY CONSERVATION; ENERGY EFFICIENCY; COMPUTERIZED CONTROL SYSTEMS |
| 摘要： | The main objective of synchronized signal timing is to keep traffic moving along arterials in platoons throughout the signal system by proper setting of left turn phase sequence at signals along the arterials/networks. The synchronization of traffic signals located along the urban/suburban arterials in metropolitan areas is perhaps one of the most cost-effective methods for improving traffic flow along these streets. MAXBAND Version 2.1 (formerly known as MAXBAND-86), a progression-based optimization model, is used for generating signal timing plan for urban networks. This model formulates the problem as a mixed integer linear program and uses Land and Powell branch and bound search to arrive at the optimal solution. The computation time of MAXBAND Version 2.1 tends to be excessive for realistic multiarterial network problems due to the exhaustive nature of the branch and bound search technique. Furthermore, the Land and Powell branch and bound code is known to be numerically unstable, which results in suboptimal solutions for network problems with a range on the cycle time variable. This report presents the development of a new version of MAXBAND called MAXBAND Version 3.1. This new version has a fast heuristic algorithm and a fast optimal algorithm for generating signal timing plan for arterials and networks. MAXBAND 3.1 can generate optimal/near-optimal solutions in fraction of the time needed to compute the optimal solution by Version 2.1. The heuristic algorithm in the new model is based on restricted search using branch and bound technique. The algorithm for generating the optimal solution is faster and more efficient than version 2.1 algorithm. Furthermore, the new version is numerically stable. The efficiency of the new model is demonstrated by numerical results for a set of test problems. |
| 总页数： | 39p |
| 报告类型： | 科技报告 |
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