Abstract:By introducing the concept of low-carbon transportation and combining with entropy weight method, the comprehensive evaluation model of intersection service level was established to determine the bottleneck parameters of intersection service level. Based on the proposed model, the concept of quasi-robust testing was proposed, the simulation data were fitted by VISSIM simulation software, and the quasi-robust test model was established to test the robustness of the optimization scheme. Taking an intersection in Fuzhou as an example, the service level bottleneck indicators were judged. The result shows that the bottleneck indicators are the average bus stop time and times. Based on this, the optimization scheme of bus stops and routes was proposed, and the comprehensive evaluation model of intersection service level and the quasi-robust test model were used for evaluation and analysis. The analysis results show that the line optimization effect is better than the station optimization, and the scheme of both optimizations is the best: the setting of bus stops on different sides of main and secondary trunk roads as well as the organization mode of long lead turn of direct bus on secondary trunk road has good optimization effect and robustness.
靳文舟,胡蔚旻. 基于停车延误理念的公交站台及线路优化[J]. 重庆交通大学学报(自然科学版), 2021, 40(01): 23-28.
JIN Wenzhou, HU Weimin. Bus Station and Line Optimization Based on Parking Delay Concept. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(01): 23-28.
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