Abstract
In this paper, the decision-making model of discretionary lane-changing is established using cumulative prospect theory (CPT). Through analyzing the vehicles’ dynamic running states, safety spacing calculating approaches for discretionary lane-changing and lane-keeping have been put forward firstly. Then, based on CPT, a lane-changing decision model with accelerating space as its utility is proposed by estimating the difference between actual spacings and the safety spacings for discretionary lane-changing as well as lane-keeping. In order to calculate the utility of discretionary lane-changing, dynamic reference points and a parameter representing driver’s risk preference are introduced into the model. With the real data collected from an urban expressway, the distribution of discretionary lane-changing duration is analyzed, and the model parameters are also calibrated. Furthermore, the applicability of the model is evaluated by comparing with the actual observation and random unity model. Finally, the sensitivity analysis of the model is carried out, that is, assessing the influence degree of each variable on the decision result. The study reveals that the CPT-based model can describe discretionary lane-changing behavior more accurately, which consider drivers’ risk-aversion during decision-making.
Highlights
Lane-changing is a common tra c phenomenon
This paper studies the driver’s decision-making behavior of discretionary lane-changing under the framework of bounded rationality and achieves the following results: (1) e dynamic car-following relationship between the involved vehicles during discretionary lane-changing is analyzed
A method to calculate the acceleration during lane-changing is proposed through applying a car-following model, the minimum safety spacing for lane-changing is derived
Summary
Lane-changing is a common tra c phenomenon. It is difcult for drivers to predict the lane-changing behavior of surrounding vehicles especially the discretionary lanechanging, which usually takes only a few seconds from intention generation to operation completion. Erefore, it is necessary to consider the driver’s bounded rationality in the study of discretionary lane-changing decision-making. Considering the unpredictability of lane-changing duration, this article explores that the minimum safety spacing varies with the dynamic lane-changing duration and describes how the accelerating space of objective vehicle varies with the adjacent vehicles’ running states. On this basis, a decision-making model of discretionary lanechanging based on dynamic reference points is established. Is study considers the limitation of driver’s perception and the difference in attitudes towards losses and gains It breaks through the limitation of perfect rationality assumption and can describe the driver’s actual lanechanging process more accurately.
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