| Summary: | 碩士 === 逢甲大學 === 交通工程與管理所 === 97 === Arterial systems play the critical role in urban traffic areas, their operation performances could reflect the traffic conditions. To solve the traffic congestion in urban areas through signal timing is the most effective and economic measures. Good signal timing could ease road congestion and decrease the potential of accidents. In the other word, improper signal timings will result in unsmooth movement of traffic flow and more problems that caused by bad network performance. Therefore, signal timing design is a very important issue on the traffic engineering study.
In this study, we aimed at the “New Algorithm for Solving the Maximum Progression Bandwidth Model” to solve the dilemma which is not easily to gain the results from high carrying capacity intersections and numerous queue vehicles. We presented mixed integer linear programming models for the development of optimal arterial-based progression schemes, using adjacent intersections to establish bandwidth which could accommodate all kinds of traffic demands. In objective function, we introduced the maximized amounts of intersections that platoon passing through and the principle of the sequences that platoon arrive to apply in our model, and these ideas can solve in all traffic situations of the arterial intersections.
As the measure of effective (MOE), we verified offset effectiveness first and then, proofed the validity of the model. Based on the result of timing plans that produced by the model and Synchro that under high saturation conditions, the MOE of our model is better than Synchro in average speed and the percentage of stopping times. Even though the MOE of the model in average delay is a little bit worse than Synchro, but the difference is insignificance.
In conclusion, this study proposed a new bandwidth model for determining the optimal timing plan in arterial systems, we hope it could bestead for practical applications.
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