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
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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
Shi An
中科院分区:
工程技术4区
文献类型:
--
作者:
Zixu Zhuang;Zhanhong Cheng;Jia Yao;Jian Wang;Shi An

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提高公交出行时间可靠性可以吸引更多的通勤者使用公交出行,从而降低汽车的占有率,缓解交通拥堵。本文提出了一种新的公交行程时间可靠性度量方法,该方法综合考虑了公交车在站等待过程和在车行程时间过程两个随机过程,并通过独立事件概率的卷积计算公交行程时间可靠性函数。新的可靠性指标被定义为概率时,公交车旅行时间小于一定的阈值,并可以在两种情况下使用和没有公交车转移。最后,以哈尔滨市的车辆自动定位数据为例,验证了该方法的有效性。结果表明,天气、星期几、发车时间、出行距离、乘车站到发车站的距离等因素对出行时间可靠性有显著影响。最后,以一个公交发车频率较低的案例为例,分析了出行者的到达分布对其行程时间可靠性的影响。此外,它表明,行程时间的可靠性的两个公交换乘方案的同一个起点-目的地(OD)对可以有显着不同的模式。了解公交车出行时间可靠性的模式,可以帮助乘客在不同的条件下选择更可靠的公交线路。所提出的公交行程时间可靠性指标对不同因素的影响比较敏感,可用于公交线路推荐、公交服务评价和优化。
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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