A merging–giveway interaction model of cars in a merging section: a game theoretic analysis

Kita, Hideyuki

doi:10.1016/s0965-8564(98)00039-1

Cited by 172 publications

(104 citation statements)

References 2 publications

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“…To simplify the model, in this study, we analyzed the game process of drivers and established game behavior models based on the following factors: vehicle speed and drivers' risk perception. In addition, a previous study [11] showed that the interaction process between right and left drivers could be considered a zero-sum non-cooperative game According to game theory, the player set for the crossing process in this study was ‫ܥ‬ = ‫ܥ{‬ ோ , ‫ܥ‬ }, as shown in Fig. 1(c).…”

Section: Modeling Methodsmentioning

confidence: 93%

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Modeling crossing behavior of drivers at unsignalized intersections with consideration of risk perception

Liu

Chen

et al. 2017

Transportation Research Part F: Traffic Psychology and Behaviou

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Abstract. Drivers' risk perception is vital to driving behavior and traffic safety. In the dynamic interaction of a driver-vehicle-environment system, drivers' risk perception changes dynamically. This study focused on drivers' risk perception at unsignalized intersections in China and analyzed drivers' crossing behavior. Based on cognitive psychology theory and an adaptive neuro-fuzzy inference system, quantitative models of drivers' risk perception were established for the crossing processes between two straight-moving vehicles from the orthogonal direction. The acceptable risk perception levels of drivers were identified using a self-developed data analysis method. Based on game theory, the relationship among the quantitative value of drivers' risk perception, acceptable risk perception level, and vehicle motion state was analyzed. The models of drivers' crossing behavior were then established. Finally, the behavior models were validated using data collected from real-world vehicle movements and driver decisions. The results showed that the developed behavior models had both high accuracy and good applicability. This study would provide theoretical and algorithmic references for the microscopic simulation and active safety control system of vehicles.

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Section: Modeling Methodsmentioning

confidence: 93%

“…Moreover, they cannot explicitly consider the dynamic interactions among drivers and cognitive decision features. To address such shortcomings, an approach based on game theory inspired by the early works of Kita et al [11] was adopted to model drivers' behavior in the present study.…”

Section: Modeling Methodsmentioning

confidence: 99%

Modeling crossing behavior of drivers at unsignalized intersections with consideration of risk perception

Liu

Chen

et al. 2017

Transportation Research Part F: Traffic Psychology and Behaviou

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“…This "fairness" condition, to some extent, is supported by observations at crowded merges, e.g., vehicles from an on-ramp generally wait until there is a big enough gap to merge when traffic is fluid. When many vehicles from the on-ramp cannot merge and queue up, they may squeeze in and force vehicles from the upstream mainline freeway to slow down or switch lanes to give way to them (Kita, 1999). These observations show that vehicles from the upstream cells compete "fairly" with each other for admission into the downstream cell.…”

Section: And the Point Q Otherwisementioning

confidence: 99%

On the distribution schemes for determining flows through a merge

Jin

Zhang

2003

Transportation Research Part B: Methodological

136

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Abstract:In this paper, we study various distribution schemes for determining flows through a merge in the supply-demand framework. Upon a thorough analysis of existing schemes, we propose a simple distribution scheme that satisfies the "fairness" condition, in which the flow from an upstream link is proportional to its traffic demand. We demonstrate that this scheme can capture characteristics of a merge, such as characteristic difference between upstream links, capacity of each link, and control of an on-ramp. Moreover, this scheme leads to a merge model that is computationally efficient and easy to calibrate. Wave solutions of a general Riemann problem will be of interest in future studies.Keywords: The kinematic wave traffic flow models, the discrete merge model, traffic demand, traffic supply, the supply-demand method, the distribution scheme, the "fairness" condition.

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“…Recently, the analysis of the traffic flow on a multiple-lane road at an intersection or a junction is considered as one of the important studies of traffic flow for releasing traffic congestion. Traffic flow in merging was studied by using game theory [7], agent based simulations [8], and the simulations with cooperation between two lanes [9].…”

Section: Introductionmentioning

confidence: 99%

Reversal of Travel Time between Zipper and Non-Zipper Mergings on Highway Traffic under the Existence of Vehicles Going Straight

Nishi

Miki

Tomoeda

et al. 2011

SICE Journal of Control, Measurement, and System Integration

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: Heavy traffic congestion often occurs at an intersection of highway traffic. For releasing this congestion, we compare "zipper" and "non-zipper" mergings by numerical simulations. The "zipper" merging is the alternating merging of vehicles on two lanes and achieved only by the local communication of vehicles before merging, while the "nonzipper" merging is the disorderly merging of vehicles. In simulations we use a stochastic cellular automaton model for traffic with a slow-to-start rule. Numerical results show that the travel time of the "zipper" merging is shorter (longer) than that of the "non-zipper" merging in the case of a strong (resp. weak) slow-to-start effect. Moreover, it is observed that this reversal is strongly affected by the ratio of vehicles going straight without changing lanes.

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A merging–giveway interaction model of cars in a merging section: a game theoretic analysis

Cited by 172 publications

References 2 publications

Modeling crossing behavior of drivers at unsignalized intersections with consideration of risk perception

Modeling crossing behavior of drivers at unsignalized intersections with consideration of risk perception

On the distribution schemes for determining flows through a merge

Reversal of Travel Time between Zipper and Non-Zipper Mergings on Highway Traffic under the Existence of Vehicles Going Straight

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