近交叉口路中式快速公交站点选址优化

doi:10.6040/j.issn.1672-3961.0.2020.345

摘要/Abstract

摘要： 提出一种基于快速公交车辆和到站乘客综合时间效益最优的站点选址优化方法,建立时间效益模型,运用模糊层次分析法和遗传算法求解模型,选取济南市黄岗路站点进行案例分析。结果表明:一个测度单元中快速公交运行时间的权重越大,到站乘客通行时间的权重越小,满足时间效益最优时的缓冲区距离越大,当案例站点设置在交叉口下游25 m处时,综合时间效益最优,与现状相比时间效益提高20%。

关键词: 快速公交, 站点选址, 时间效益模型, 遗传算法

Abstract: Based on the optimal comprehensive time efficiency of BRT vehicles and arriving passengers, a station selection optimization method was proposed. The time efficiency model was established and calculated by fuzzy analytic hierarchy process and genetic algorithm. Huanggang Road Station in Jinan was selected for case analysis. The results showed that the larger the weight of BRT operation time in a measurement unit was, the smaller the weight of arrival passenger travel time was, and the greater the buffer distance when the time efficiency was optimal. When the case station was set up at 25 meters downstream of the intersection, the efficiency of comprehensive time was the most optimal, which was 20% higher than the current situation.

Key words: bus rapid transit(BRT), stations selection, time efficiency model, genetic algorithm

中图分类号:

U491

郭蓉蓉,张汝华,马信辉,郭森垚. 近交叉口路中式快速公交站点选址优化[J]. 山东大学学报 (工学版), 2021, 51(3): 61-67.

GUO Rongrong, ZHANG Ruhua, MA Xinhui, GUO Senyao. Location optimization of median BRT station at intersection[J]. Journal of Shandong University(Engineering Science), 2021, 51(3): 61-67.

参考文献 12

[1]	JOAQUIM José Guilherme de Aragão, YAEKO Yamashita, ROMULO Dante Orrico Filho. BRT in Brazil: designing services in function of given infrastructure projects or designing infrastructure in function of established service quality patterns? [J].Research in Transportation Economics, 2016, 59:304-312.
[2]	郑琼芳,曾华燕.简谈交叉口处公交停靠站优化设置方法[J].城市公共交通,2016(12):34-38. ZHENG Qiongfang, ZENG Huayan. Briefly on the optimization method of bus stops at intersections[J]. Urban Public Transport, 2016(12):34-38.
[3]	NEIL Byrne, PETER Koonce, ROBERT L. Bertini, et al. Using hardware-in-the-loop simulation to evaluate signal control strategies for transit signal priority[J]. Transportation Research Record Journal of the Transportation Research Board, 2005, 1925(1):227-234.
[4]	马莹莹,杨晓光,马万经.快速公交站台形式及位置最佳布置方法[J].城市交通,2006(4):50-54. MA Yingying, YANG Xiaoguang, MA Wanjing. The best layout method of the form and location of the BRT station[J]. Urban Transport, 2006(4):50-54.
[5]	赵胜.港湾式公交站位置对交叉口通行能力影响模拟分析[J].公路与汽运,2017(5):17-19. ZHAO Sheng. Simulation analysis of the influence of the location of the harbor-style bus station on the traffic capacity of the intersection [J]. Highway and Motor Transport, 2017(5):17-19.
[6]	陈红,刘玮蔚,朱宏佳,等.新型交叉口公交停靠站选址模型[J].中国公路学报,2017,30(1):136-141. CHEN Hong, LIU Weiwei, ZHU Hongjia, et al. New-type intersection bus stop location model[J]. China Journal of Highway and Transport, 2017, 30(1): 136-141.
[7]	龚翔, 陈学武, 李娅. 城市快速公交停靠站点在交叉口的选址研究[J]. 土木工程学报, 2011,44(11):115-120. GONG Xiang, CHEN Xuewu, LI Ya. Research on location selection of urban rapid transit stops at inter-sections[J]. China Civil Engineering Journal, 2011, 44(11): 115-120.
[8]	戴炳奎. 快速公交站点布局设计优化研究[D]. 成都: 西南交通大学, 2012. DAI Bingkui. Research on optimization of BRT station layout design[D]. Chengdu: Southwest Jiaotong University, 2012.
[9]	隆冰. 公交优先主导下的交叉口配时优化研究[D]. 北京: 北京交通大学, 2015. LONG Bing. Research on intersection timing optimization dominated by public transport priority[D]. Beijing: Beijing Jiaotong University, 2015.
[10]	郭继孚. 国内外快速公交系统发展实践[M].北京: 中国建筑工业出版社, 2008. GUO Jifu. Development practice of BRT system at home and abroad[M]. Beijing: China Construction Industry Press, 2008.
[11]	葛宏伟,王炜,陈学武.信号交叉口上游公交站点实际停靠延误模型[J].哈尔滨工业大学学报,2008,40(12):2062-2067. GE Hongwei, WANG Wei, CHEN Xuewu. Actual stop delay model of the upstream bus stop at signalized intersection[J]. Journal of Harbin Institute of Technology, 2008, 40(12):2062-2067.
[12]	董洁霜, 刘彦延, 刘魏巍. 模糊层次分析法在公交站点选址中的应用[J]. 交通与运输(学术版), 2012(2):35-39. DONG Jieshuang, LIU Yanyan, LIU Weiwei. Application of fuzzy analytic hierarchy process in bus stop location[J]. Traffic and transportation(Academic Edition), 2012(2): 35-39.

相关文章 15

[1]	顾雪平, 杨超, 梁海平, 王元博, 李少岩. 异步电网并行协调恢复策略的优化制定方法[J]. 山东大学学报 (工学版), 2019, 49(5): 9-16.
[2]	孙润稼,朱海南,刘玉田. 基于偏好多目标优化和遗传算法的输电网架重构[J]. 山东大学学报 (工学版), 2019, 49(5): 17-23.
[3]	公冶小燕,林培光,任威隆. 基于Grefenstette编码和2-opt优化的遗传算法[J]. 山东大学学报 (工学版), 2018, 48(6): 19-26.
[4]	陈嘉杰,王金凤. 基于蚁群算法求解Choquet模糊积分模型[J]. 山东大学学报(工学版), 2018, 48(3): 81-87.
[5]	王飞,徐健,李伟,汪新浩,施啸寒. 基于分布式储能系统的风储滚动优化调度方法[J]. 山东大学学报(工学版), 2017, 47(6): 89-94.
[6]	王常顺,肖海荣. 基于自抗扰控制的水面无人艇路径跟踪控制器[J]. 山东大学学报(工学版), 2016, 46(4): 54-59.
[7]	刘德宝, 吴耀华, 郭耀阳, 王艳艳. 基于串并行混合拣选策略的自动拣选系统品项分配优化[J]. 山东大学学报(工学版), 2015, 45(6): 36-44.
[8]	董红斌, 张广江, 逄锦伟, 韩启龙. 一种基于协同进化方法的聚类集成算法[J]. 山东大学学报(工学版), 2015, 45(2): 1-9.
[9]	梁兴建, 詹志辉. 基于双模式变异策略的改进遗传算法[J]. 山东大学学报(工学版), 2014, 44(6): 1-7.
[10]	孙鹏,程世庆*,谢敬思,张海瑞. 预测混合生物质灰熔点的CV-GA-SVM模型[J]. 山东大学学报(工学版), 2012, 42(2): 108-111.
[11]	杨钦民,刘海林*. 基于遗传算法的蜂窝网络动态信道分配建模及算法实现[J]. 山东大学学报(工学版), 2011, 41(2): 85-90.
[12]	阳爱民1,周咏梅1,邓河2,周剑峰3. 一种网络流量分类特征的产生及选择方法[J]. 山东大学学报(工学版), 2010, 40(5): 1-7.
[13]	刘彬,张仁津. 基于退火遗传算法的NURBS曲线逼近[J]. 山东大学学报(工学版), 2010, 40(5): 96-100.
[14]	王艳艳,吴耀华,孙国华,于洪鹏. 配送中心分拣订单合批策略的研究[J]. 山东大学学报(工学版), 2010, 40(2): 43-46.
[15]	杜乾蔚何彬王玉玲游智. 基于遗传算法的含金属混合炸药配方设计[J]. 山东大学学报(工学版), 2009, 39(5): 149-152.

多维度评价

Viewed

Full text

Abstract

Cited

Shared

Discussed