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非机动车辆超越持续时间建模:基于非参数生存分析的方法。

Modeling duration of overtaking between non-motorized vehicles: A nonparametric survival analysis based approach.

机构信息

School of Transportation, Southeast University, Nanjing, China.

School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.

出版信息

PLoS One. 2021 Jan 29;16(1):e0244883. doi: 10.1371/journal.pone.0244883. eCollection 2021.

DOI:10.1371/journal.pone.0244883
PMID:33513148
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7845977/
Abstract

The use of non-motorized vehicles in urban city has improved the convenience of short-distance travel and reduced traffic pollution. However, the overtaking behaviour of non-motorized vehicles impacts traffic safety and efficiency significantly. The objective of this study is to model the durations of overtaking behaviour in the non-motorized vehicle exclusive lane. A total of 3010 overtaking events of non-motorized vehicles were extracted from two locations in Chengdu, China. The nonparametric survival analysis was conducted to model the overtaking duration of non-motorized vehicles. The categorical variables that significantly influence the overtaking duration were examined by the Log-rank test. The results show that the overtaking durations of female riders is longer than that of male riders. It takes longer for electrical bikes to complete overtaking than conventional bikes. When the non-motorized vehicle is under the load state (i.e. passengers or goods on the non-motorized vehicle), the overtaking behaviour takes more time than the un-load state. Moreover, it takes less time to overtake the non-motorized vehicle with load than to overtake the one without load. When there is a wrong-way driving phenomenon or under higher traffic volume, the duration is longer compared to the normal traffic and lower traffic volume conditions. The findings of this study attempt to provide a more profound understanding of non-motorized vehicles overtaking behaviour under different traffic conditions and give insights to the safety research of non-motorized vehicles.

摘要

在城市中使用非机动车辆提高了短途出行的便利性,并减少了交通污染。然而,非机动车辆的超车行为对交通安全和效率有重大影响。本研究的目的是建立非机动专用道超车行为的持续时间模型。从中国成都的两个地点提取了 3010 个非机动车辆的超车事件。采用非参数生存分析对非机动车辆的超车持续时间进行建模。通过对数秩检验检验了显著影响超车持续时间的分类变量。结果表明,女性骑手的超车持续时间长于男性骑手。电动自行车完成超车所需的时间长于传统自行车。当非机动车辆处于负载状态(即车上有乘客或货物)时,超车行为所需的时间比空载状态长。此外,在有负载的情况下超车所需的时间比空载的情况下短。当存在逆行驾驶现象或交通量较高时,与正常交通和低交通量条件相比,持续时间更长。本研究的结果试图更深入地了解不同交通条件下非机动车辆的超车行为,并为非机动车辆的安全研究提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f221/7845977/37e22448326b/pone.0244883.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f221/7845977/6c3657f9105e/pone.0244883.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f221/7845977/0f8d3a2ba3f7/pone.0244883.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f221/7845977/37e22448326b/pone.0244883.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f221/7845977/6c3657f9105e/pone.0244883.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f221/7845977/0f8d3a2ba3f7/pone.0244883.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f221/7845977/37e22448326b/pone.0244883.g005.jpg

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