title: Genetic algorithm for multiple bus line coordination on urban arterial.
abstract: Bus travel time on road section is defined and analyzed with the effect of multiple bus lines. An analytical model is formulated to calculate the total red time a bus encounters when travelling along the arterial. Genetic algorithm is used to optimize the offset scheme of traffic signals to minimize the total red time that all bus lines encounter in two directions of the arterial. The model and algorithm are applied to the major part of Zhongshan North Street in the city of Nanjing. The results show that the methods in this paper can reduce total red time of all the bus lines by 31.9% on the object arterial and thus improve the traffic efficiency of the whole arterial and promote public transport priority.
authors: Jiangsu Key Laboratory of Urban ITS, Southeast University, 2 Si Pai Lou, Nanjing 210096, China ; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, 2 Si Pai Lou, Nanjing 210096, China.
authors: Zhen
authors: Z
authors: Yang
authors: Jiangsu Key Laboratory of Urban ITS, Southeast University, 2 Si Pai Lou, Nanjing 210096, China ; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, 2 Si Pai Lou, Nanjing 210096, China.
authors: Wei
authors: W
authors: Wang
authors: Jiangsu Key Laboratory of Urban ITS, Southeast University, 2 Si Pai Lou, Nanjing 210096, China ; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, 2 Si Pai Lou, Nanjing 210096, China.
authors: Shuyan
authors: S
authors: Chen
authors: Jiangsu Key Laboratory of Urban ITS, Southeast University, 2 Si Pai Lou, Nanjing 210096, China ; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, 2 Si Pai Lou, Nanjing 210096, China.
authors: Haoyang
authors: H
authors: Ding
authors: Jiangsu Key Laboratory of Urban ITS, Southeast University, 2 Si Pai Lou, Nanjing 210096, China.
authors: Xiaowei
authors: X
authors: Li
mesh_terms: D000465:Algorithms; D006801:Humans; D018986:Motor Vehicles / Q000706:statistics & numerical data; D013997:Time Factors; D014506:Urban Renewal