Estimation of the value of travel time and of travel time reliability for heterogeneous drivers in a road network

Estimation of the value of travel time and of travel time reliability for heterogeneous drivers in a road network
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DOI:
10.1007/s11116-020-10107-x
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发表时间:
2020-04
期刊:
影响因子:
4.3
通讯作者:
Teppei Kato;K. Uchida;W. Lam;A. Sumalee
Teppei Kato;K. Uchida;W. Lam;A. Sumalee
中科院分区:
工程技术2区
文献类型:
--
作者:
Teppei Kato;K. Uchida;W. Lam;A. Sumalee

文献摘要

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行程时间可靠性是交通网络成本效益分析中的一个重要因素。为了估计行程时间可靠性的收益和成本,已经提出了几个网络模型,以估计基于驾驶员的路径选择行为的行程时间和行程时间可靠性的货币价值。在这项研究中,我们提出了一个网络模型,解决货币价值是特定于每个起点,目的地对道路网络。该模型被制定为一个效用最大化的问题,以类似的方式,解决旅行时间的价值只研究的约束。该模型具有与弹性需求下的多类用户均衡交通分配问题相同的均衡条件,其中明确考虑了驾驶员的风险规避路径选择行为。通过占数据的可用性,我们提出了一个参数估计方法的基础上的最大似然法与两种方法,即链路流为基础的方法和路由流为基础的方法。然而,这两种方法只需要链路流数据。数值实验证明了所提出的两种方法的性能以及一些有见地的发现。
Travel time reliability has been recognized as an important factor in cost–benefit analysis in a transportation network. To estimate the benefit and cost of travel time reliability, several network models have been proposed to estimate the monetary values both of travel time and of travel time reliability based on the driver’s route choice behavior. In this study, we propose a network model that addresses monetary values that are specific to each origin–destination pair in a road network. The proposed model is formulated as a utility maximization problem with constraints in a manner similar to studies that address the value of travel time only. The proposed model has the same equilibrium conditions as a multiclass user equilibrium traffic assignment problem with elastic demand in which the risk-averse driver’s route choice behavior is explicitly considered. By accounting for data availability, we propose a parameter estimation method based on the maximum likelihood method with two alternative approaches; namely link flow-based and route flow-based approaches. However, the two proposed methods require link flow data only. Numerical experiments are carried out to demonstrate the performance of the two proposed methods together with some insightful findings.