基于扩展决策场的机场落客区车辆－旅客行为建模分析

doi:10.16097/j.cnki.1009-6744.2024.05.028

交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (5): 309-317.DOI: 10.16097/j.cnki.1009-6744.2024.05.028

基于扩展决策场的机场落客区车辆－旅客行为建模分析

唐铁桥^{*1, 2}，钟静燃¹，袁小婷¹，覃梦欣¹

1. 北京航空航天大学，交通科学与工程学院，北京 100191；2. 杭州市北京航空航天大学国际创新研究院，杭州 311115

收稿日期:2024-07-27 修回日期:2024-08-29 接受日期:2024-09-09 出版日期:2024-10-25 发布日期:2024-10-23
作者简介:唐铁桥(1977- )，男，湖南邵东人，教授，博士。
基金资助:
国家自然科学基金(72231001, 72171006)。

Modeling and Analysis of Vehicle-passenger Behavior in Airport Drop-off Areas Based on Extended Decision Fields Theory

TANG Tieqiao^*1,2, ZHONG Jingran¹, YUAN Xiaoting¹, QIN Mengxin¹

1. School of Transportation Science and Engineering, Beihang University, Beijing 100191, China; 2. Hangzhou International Innovation Institute, Beihang University, Hangzhou 311115, China

Received:2024-07-27 Revised:2024-08-29 Accepted:2024-09-09 Online:2024-10-25 Published:2024-10-23
Supported by:
National Natural Science Foundation of China (72231001, 72171006)。

摘要/Abstract

摘要： 近年来，随着航空旅客运输的发展，机场陆侧交通资源愈发紧张。机场落客区作为衔接机场航站楼内部与外部交通之间的交互面，行人和车辆交互冲突严重，落客区运行压力大。本文以某国内机场为研究对象，基于实地调查的视频数据，建立基于Logistic回归模型的车辆让行模型；发布调查问卷，从效率、安全和舒适这3种属性收集该机场落客区场景下旅客做出的选择，最终建立落客区环境下的人车冲突仿真模型，利用仿真模型探究落客区内人车冲突情景。仿真结果表明：在多幅路结构的落客区内，旅客乱穿马路的选择与交通密度和过街次数有关，交通密度越大，旅客需要过街的次数越多，旅客乱穿马路的频率越低，在中幅路落客的旅客最高违规过街率为6.8%，在外幅路落客的旅客最高违规过街率为2.1%；当人行道和入站口相互间距扩大1倍，外幅路落客的旅客平均违规过街率提升1.6%，中幅路落客的旅客平均违规过街率提升0.9%；此外，通过限制旅客乱穿马路，可以有效减少非高峰时期车辆让行次数，提升落客区车辆通行效率。

关键词: 交通工程, 落客区, 扩展决策场, 车辆—旅客行为, Logistic回归模型

Abstract: In recent years, the rapid growth of air passenger transportation has progressively constrained landside traffic resources at airports. As a crucial interface between internal and external airport traffic, the passenger drop-off areas experiences significant conflicts between pedestrians and vehicles, leading to inefficiencies in traffic operations. This study focuses on a domestic airport, utilizing field investigation video data to develop a vehicle yield model based on Logistic regression. In addition, a survey was conducted to gather passengers' preferences in the drop-off area, focusing on three attributes: efficiency, safety, and comfort. These data were then used to develop a simulation model of pedestrian-vehicle conflicts in the drop-off environment. The simulation model was employed to investigate various conflict scenarios within the drop-off area. The simulation results reveal that in drop-off areas with multiple road structures, the likelihood of jaywalking is influenced by traffic density and the frequency of required crossings. Higher traffic density and more frequent crossings result in a lower rate of jaywalking. The highest rate of jaywalking recorded for passengers in the middle lane was 6.8%, compared to a rate of 2.1% for passengers in the outer lane. When the distance between the sidewalk and entrance is doubled, the average jaywalking rate of passengers dropped off in the outer lane increases by 1.6%, while the average jaywalking rate of passengers dropped off in the middle lane increases by 0.9%. Furthermore, restricting passenger jaywalking effectively reduces the number of vehicle concessions during off-peak periods, thereby improving traffic efficiency in the drop-off areas.

Key words: traffic engineering, passenger drop-off area, extended decision field theory, vehicle-passenger behavior, Logistic regression model

中图分类号:

唐铁桥, 钟静燃, 袁小婷, 覃梦欣. 基于扩展决策场的机场落客区车辆－旅客行为建模分析[J]. 交通运输系统工程与信息, 2024, 24(5): 309-317.

TANG Tieqiao, ZHONG Jingran, YUAN Xiaoting, QIN Mengxin. Modeling and Analysis of Vehicle-passenger Behavior in Airport Drop-off Areas Based on Extended Decision Fields Theory[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(5): 309-317.

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基于扩展决策场的机场落客区车辆－旅客行为建模分析

Modeling and Analysis of Vehicle-passenger Behavior in Airport Drop-off Areas Based on Extended Decision Fields Theory

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