Abstract
In this paper, we employ a target-oriented approach to analyze the multi-attribute route choice decision of travelers in the stochastic tolled traffic network, considering the influence of three attributes, which are (stochastic) travel time, (stochastic) late arrival penalty, and (deterministic) travel cost. We introduce a target-oriented multi-attribute travel utility model for this analysis, where each attribute is assigned a target by travelers, and travelers’ objective is to maximize their travel utility that is determined by the achieved targets. Moreover, the interaction between targets is interpreted as complementarity relationship between them, which can further affect their travel utility. In addition, based on this travel utility model, a target-oriented multi-attribute user equilibrium model is proposed, which is formulated as a variational inequality problem and solved with the method of successive average. Target for travel time is determined via travelers’ on-time arrival probability, while targets for late arrival penalty and travel cost are given exogenously. Lastly, we apply the proposed model on the Braess and Nguyen–Dupuis traffic networks, and conduct sensitivity analysis of the parameters, including these three targets and the target interaction between them. The study in this paper can provide a new perspective for travelers’ multi-attribute route choice decision, which can further show some implications for the policy design.
Highlights
Accepted: 1 September 2021Traffic assignment models play a fundamental role in transportation planning and real-time applications, e.g., traffic prediction and optimal routing, and this is important for the desirable development of cities, e.g., a low-carbon city [1]
We introduce a target-oriented multi-attribute travel utility model for this analysis, where each attribute is assigned a target by travelers and travelers’ objective is to maximize their travel utility that is determined by the achieved targets
The user equilibrium model based on aforementioned travel utility model is proposed, which is formulated as a variational inequality problem and solved with method of successive average
Summary
Traffic assignment models play a fundamental role in transportation planning and real-time applications, e.g., traffic prediction and optimal routing, and this is important for the desirable development of cities, e.g., a low-carbon city [1]. The closest paper related to our study here is [31], where the author proposed a new general methodology to study travelers’ multi-attribute route choice behavior on the traffic network (in Section 2.1, we review this methodology to make this paper selfcontained) Based on this methodology, the author considered stochastic travel cost and travel time simultaneously in a tolled traffic network, and further discussed a targetoriented bi-attribute travel route utility model and bi-attribute user equilibrium based on aforementioned utility model. With all the above discussions, we adopt the target-oriented methodology to analyze the multi-attribute route choice decision of travelers in the scenario of tolled traffic network, considering three attributes, which are (stochastic) travel time, (stochastic) late arrival penalty (LAP), and (deterministic) travel cost, following the work of [18] (in the work, the authors used travel distance, which can be reinterpreted as travel cost following our definitions, as our paper assumes travel cost is given in advance).
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