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首页> 外文期刊>Transportation planning and technology >Investigation of drivers' diversion responses to urban freeway variable message signs displaying freeway and local street travel times
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Investigation of drivers' diversion responses to urban freeway variable message signs displaying freeway and local street travel times

机译:调查驾驶员对显示高速公路和当地街道行驶时间的城市高速公路可变信息标志的转向反应

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摘要

This paper explores urban freeway users' diversion responses to D-VMS (a new type of freeway variable message sign that explicitly provides travel times for both freeways and local streets) in the context of China. An on-site stated preference questionnaire survey was conducted to collect behavioral data. Four types of binary probit models were estimated to identify the factors that influence diversion behavior: the model with only constant coefficient and the models with 'normal', 'truncated normal', and 'log-normal' random coefficients. The three models with random coefficients accommodate heterogeneous preferences for travel time savings among drivers. The study shows that drivers' en route decisions on diverting from a freeway to local streets can be significantly influenced by D-VMS and the extent of the D-VMS impacts depends on driver characteristics, local street characteristics, and D-VMS messages. Main findings regarding D-VMS impacts are (1) travel time savings and drivers' years of driving experience serve as positive factors in diverting and (2) the number of traffic lights on the street, frequency of urban freeway use, being a mid-age driver, and an employer-provided car driver serve as negative factors in diverting. In terms of heterogeneous preference modeling, likelihood ratio tests show the three models with random coefficients obtain higher goodness of fits, and preliminary evidence is given that a small portion of drivers are insensitive to travel time savings indicated by D-VMS and persist in using urban freeways. The findings of this study have implications for the design and operation of D-VMS and for further effort on driver behavior modeling.
机译:本文探讨了中国背景下城市高速公路用户对D-VMS(一种新型的高速公路可变信息标志,明确提供高速公路和当地街道的出行时间)的转移响应。进行现场陈述偏好问卷调查以收集行为数据。估计了四种类型的二进制概率模型来确定影响转移行为的因素:只有常数系数的模型和具有“正态”,“截断正态”和“对数正态”随机系数的模型。三种具有随机系数的模型可提供多种多样的偏好,以节省驾驶员的出行时间。研究表明,D-VMS可以显着影响驾驶员从高速公路转向本地街道的途中决策,并且D-VMS的影响程度取决于驾驶员的特征,当地街道特征和D-VMS消息。有关D-VMS影响的主要发现是(1)节省旅行时间和驾驶员多年的驾驶经验是改道的积极因素,以及(2)街道上的交通信号灯数量,城市高速公路的使用频率,年龄驾驶员和雇主提供的汽车驾驶员成为转移的负面因素。在异质偏好建模方面,似然比测试显示这三个具有随机系数的模型获得较高的拟合优度,并且初步证据表明,一小部分驾驶员对D-VMS指示的旅行时间节省不敏感,并坚持使用城市高速公路。这项研究的发现对D-VMS的设计和操作以及驾驶员行为建模的进一步努力具有重要意义。

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