摘要
合理的发车间隔对于快速公交车辆发挥其高效、经济和环保的优势具有重要的意义.首先以乘客出行成本和快速公交运营成本最小化为目标,考虑发车时间约束、车辆台数约束,建立了快速公交发车间隔优化模型.然后采用二进制编码,运用单点交叉和基本位变异的遗传算法求解该优化模型.最后以兰州市首条快速公交线路为例进行了实证研究,得到了不同时段下快速公交的发车间隔.实例研究结果表明,该发车间隔优化模型及遗传算法可行,对实现快速公交科学调度具有一定的参考意义.
Scheduling departing time interval is significant for Bus Rapid Transit（BRT）to take full advantage in efficiency,economy and environmental protection.Aimed at minimizing the cost of passenger traveling and BRT operation considering the constraint of departing time interval and BRT number,the multi-objective departing time interval optimization model of BRT is established.Then Genetic Algorithm（GA）with binary coding,one-point crossover and simple mutation are used to solve this model.Finally,the departure interval of BRT under different periods is obtained by taking the first BRT line of Lanzhou as a case study.The results confirmed the feasibility of the optimization model and GA,and it can be used as a reference for BRT scheduling.
出处
《兰州交通大学学报》
CAS
2015年第1期170-174,184,共6页
Journal of Lanzhou Jiaotong University
基金
教育部人文社会科学研究项目(13XJC630017)
甘肃省科技计划资助(1308RJYA030)
甘肃省高等学校科研资助(2014A-044)
兰州交通大学大学生科技创新基金资助(DXS-KJCX-2013-012)
关键词
快速公交
发车间隔
遗传算法
bus rapid transit
departing time interval
genetic algorithm
