[1] Qu Zhaowei, Qi Xingzu, Chen Yongheng, Bai Qiaowen, et al. Optimal allocation model of signalized intersectionswith dynamic use of exit lanes for left turn [J]. Journal of Southeast University (English Edition), 2020, 36 (2): 213-219. [doi:10.3969/j.issn.1003-7985.2020.02.012]
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Optimal allocation model of signalized intersectionswith dynamic use of exit lanes for left turn(
)
信控交叉口逆向可变车道最优分配模型
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 36
- Issue:
- 2020 2
- Page:
- 213-219
- Research Field:
- Traffic and Transportation Engineering
- Publishing date:
- 2020-06-20
Info
- Title:
- Optimal allocation model of signalized intersectionswith dynamic use of exit lanes for left turn
- 信控交叉口逆向可变车道最优分配模型
- Author(s):
- Qu Zhaowei; Qi Xingzu; Chen Yongheng; Bai Qiaowen; Tao Chuqing; Liu Fanghong
- School of Transportation, Jilin University, Changchun 130022, China
- Keywords:
- traffic engineering; exit lane for left turn; signaled intersection; multi-objective optimization
- PACS:
- U491
- DOI:
- 10.3969/j.issn.1003-7985.2020.02.012
- Abstract:
- In order to improve the operational efficiency of heavy left-turn demand intersections, an optimal allocation model of an intersection with dynamic use of exit lanes for left turns(EFL)is proposed. The constraints of setting EFL are analyzed, including the number and length of reverse variable lanes, flow direction constraints, and signal constraints, etc. The constraints and control variables are combined in a unified framework for simultaneous optimization. The objective functions are defined as the average delay and left-turn capacity of an intersection. The model is solved by a non-dominated genetic algorithm(NSGA-Ⅱ). The results show that after the optimal allocation of EFL, the average vehicle delays of the intersection can be reduced by 14.9% and left-turn capacity can be increased by 19.3%. The effectiveness of the optimal allocation model of EFL is demonstrated.
- 为了提高左转交通量较大的交叉口的运行效率, 提出了逆向可变车道(EFL)最优分配模型.通过分析设置逆向可变车道的约束条件, 包括逆向可变车道的数量和长度、流量流向约束、信号约束等, 将约束条件及控制变量组合在一个统一的框架中同步优化.将交叉口的车均延误和左转通行能力作为目标函数, 通过非支配排序的遗传算法(NSGA-Ⅱ)求解模型.结果表明, 对逆向可变车道进行最优分配后, 交叉口的车均延误可以减少14.9%, 左转通行能力可以提高19.3%, 验证了逆向可变车道最优分配模型的有效性.
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Memo
- Memo:
-
Biography: Qu Zhaowei(1962—), male, doctor, professor, quzw@jlu.edu.cn.
Foundation items: The Natural Science Foundation of Jilin Province(No.20190201107JC), the National Key Research and Development Program of China(No.2019YFB1600500).
Citation: Qu Zhaowei, Qi Xingzu, Chen Yongheng, et al. Optimal allocation model of signalized intersections with dynamic use of exit lanes for left turn[J].Journal of Southeast University(English Edition), 2020, 36(2):213-219.DOI:10.3969/j.issn.1003-7985.2020.02.012.