Bus travel time reliability incorporating stop waiting time and in-vehicle travel time with AVL data
Bus travel time reliability incorporating stop waiting time and in-vehicle travel time with AVL data
复制标题
巴士行程时间可靠性结合了车站等待时间和车内行程时间以及 AVL 数据
DOI:
10.1007/s40789-022-00544-7
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发表时间:
2022-01
影响因子:
8.3
通讯作者:
Shi An
中科院分区:
文献类型:
--
作者:
Zixu Zhuang;Zhanhong Cheng;Jia Yao;Jian Wang;Shi An
Improving bus travel time reliability can attract more commuters to use bus transit, and therefore reduces the share of cars and alleviates traffic congestion. This paper formulates a new bus travel time reliability metric that jointly considers two stochastic processes: the in-stop waiting process and in-vehicle travel time process, and the bus travel time reliability function is calculated by the convolution of independent events’ probabilities. The new reliability metric is defined as the probability when bus travel time is less than a certain threshold and can be used in both conditions with and without bus transfer. Next, Automatic Vehicle Location (AVL) data of the city of Harbin is used to demonstrate the applicability of the proposed method. Results show that factors such as weather, day of the week, departure time, travel distance, and the distance from the boarding stop to the bus departure station can significantly affect the travel time reliability. Then, a case with low bus departure frequency is analyzed to show the impact of travelers’ arrival distribution on their bus travel time reliability. Further, it is demonstrated that the travel time reliabilities of two bus transfer schemes of the same Origin–Destination (O–D) pair can have significantly different patterns. Understanding the bus travel time reliability pattern of the alternative bus routes can help passengers to choose a more reliable bus route under different conditions. The proposed bus travel time reliability metric is tested to be sensitive to the effect of different factors and can be applied in bus route recommendation, bus service evaluation, and optimization.
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影响因子:
6.4
作者:
Mohammad Nurul Hassan;Y. Hawas;K. Ahmed
通讯作者:
Mohammad Nurul Hassan;Y. Hawas;K. Ahmed
DOI:
10.4314/mmj.v24i3
发表时间:
2012-09
期刊:
Malawi medical journal : the journal of Medical Association of Malawi
影响因子:
--
作者:
M. Mukaka
通讯作者:
M. Mukaka
DOI:
--
发表时间:
2004
期刊:
--
影响因子:
--
作者:
R. Jeong
通讯作者:
R. Jeong
DOI:
10.1016/j.trc.2013.12.005
发表时间:
2014-06
影响因子:
8.3
作者:
Baozhen Yao;P. Hu;Xiao Lu;Junjie Gao;Mingheng Zhang
通讯作者:
Baozhen Yao;P. Hu;Xiao Lu;Junjie Gao;Mingheng Zhang
DOI:
10.1016/j.engappai.2010.11.004
发表时间:
2011-04
期刊:
Eng. Appl. Artif. Intell.
影响因子:
--
作者:
E. Mazloumi;G. Rose;G. Currie;S. Moridpour
通讯作者:
E. Mazloumi;G. Rose;G. Currie;S. Moridpour