Estimating the value of travel time and of travel time reliability in road networks

Estimating the value of travel time and of travel time reliability in road networks
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DOI:
10.1016/j.trb.2014.01.002
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发表时间:
2014-08
影响因子:
6.8
通讯作者:
K. Uchida
K. Uchida
中科院分区:
工程技术1区
文献类型:
--
作者:
K. Uchida

文献摘要

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本研究提出两个网路模型,同时估计行程时间和行程时间可靠性的价值的基础上的风险规避驾驶员的路径选择行为。第一个模型被制定为单调和可分离的路段行程时间下的效用最大化问题,而第二个模型被制定为非单调和不可分离的路段行程时间下的效用最大化问题。所提出的模型具有相同的结构,用户平衡(UE)的弹性需求的交通分配问题。它示出,第一个模型,它解决独立的随机容量,制定为一个具有唯一解的优化问题,并通过使用一个算法来解决UE流量分配问题与固定的需求。第二个模型,它解决了随机的起点-目的地(OD)流和随机链路容量,制定为一个非线性互补问题。所提出的模型中的O-D需求函数来自于网络中驾驶员的效用最大化行为。因此,在这项研究中提出的网络模型是一致的研究,解决的价值旅行时间和旅行时间的可靠性的基础上效用最大化的行为,而不考虑司机的路线选择。数值实验进行了证明在这项研究中提出的模型。
This study proposes two network models which simultaneously estimate the value of travel time and of travel time reliability based on the risk-averse driver’s route choice behavior. The first model is formulated as a utility maximization problem under monotonic and separable link travel times, whereas the second model is formulated as a utility maximization problem under non-monotonic and non-separable link travel times. The proposed models have the same structure as a user equilibrium (UE) traffic assignment problem with elastic demand. It is shown that the first model, which addresses independent stochastic capacity, is formulated as an optimization problem with a unique solution and is solved by using an algorithm for a UE traffic assignment problem with fixed demand. The second model, which addresses both stochastic Origin–Destination (O–D) flow and stochastic link capacity, is formulated as a nonlinear complementary problem. O–D demand functions formulated in the proposed models are derived from the utility maximization behavior of the driver in the network. Therefore, the network models proposed in this study are consistent with those of studies that address the value of travel time and of travel time reliability based on utility maximization behavior without considering the driver’s route choice. Numerical experiments are carried out to demonstrate the models presented in this study.