7th International Conference on Applied Physics and Mathematics | |
Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions | |
物理学;数学 | |
Chen, Chai^1 ; Yiik Diew, Wong^1 | |
Center for Infrastructure System, Nanyang Technological University, Singapore^1 | |
关键词: Analytic hierarchy process (ahp); Fuzzy cellular automata; Microscopic movements; Microscopic simulation; Multi attribute decision making; Optimisation techniques; Signalized intersection; Traffic performance; | |
Others : https://iopscience.iop.org/article/10.1088/1742-6596/814/1/012012/pdf DOI : 10.1088/1742-6596/814/1/012012 |
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来源: IOP | |
【 摘 要 】
This study provides an integrated strategy, encompassing microscopic simulation, safety assessment, and multi-attribute decision-making, to optimize traffic performance at downstream merging area of signalized intersections. A Fuzzy Cellular Automata (FCA) model is developed to replicate microscopic movement and merging behavior. Based on simulation experiment, the proposed FCA approach is able to provide capacity and safety evaluation of different traffic scenarios. The results are then evaluated through data envelopment analysis (DEA) and analytic hierarchy process (AHP). Optimized geometric layout and control strategies are then suggested for various traffic conditions. An optimal lane-drop distance that is dependent on traffic volume and speed limit can thus be established at the downstream merging area.
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