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Incorporating conflict risks in pedestrian-motorist interactions: A game theoretical approach

机译:在行人 - 摩托车互动中纳入冲突风险:游戏理论方法

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摘要

At "semi-controlled" crosswalks with yield signs and markings, negotiations as to the right-of-way occur frequently between pedestrians and motorists, to determine who should proceed first. This kind of "negotiation" often leads to traffic delay and potential conflicts. To minimize misunderstandings between pedestrian and motorist that can have serious safety consequences, it is essential that we understand the decision-making process as the "players" interact in real street-crossing situations. This paper employs a game-theoretic approach to investigate the joint behaviors of pedestrians and motorists from the perspective of safety. Assuming bounded rationality for each player, the quantal response equilibrium is a special kind of game with incomplete information. Explanatory variables such as conflicting risks and time savings can be incorporated into the payoff functions of the "players" via expected utility functions. Finally, model parameters can be estimated using an expectation maximization algorithm. The game-theoretic framework is applied to model pedestrian-motorist interactions at a semi-controlled crosswalk on a university campus. The estimation results indicate that the likelihood of pedestrian-vehicle conflict can be quantified. The results can lead to control measures that facilitate the negotiation between pedestrian and motorist and reduce the conflict risk at semi-controlled crosswalks.
机译:在“半控制”人行横道上,具有屈服迹象和标记,谈判到行人和驾驶者之间经常发生,以确定谁应该先进行。这种“谈判”往往导致交通延误和潜在的冲突。为了最大限度地减少人们与驾驶者之间的误解,可以具有严重的安全后果,我们必须了解决策过程,因为“玩家”在真正的街道过境情况下互动。本文聘请了一种游戏理论方法,从安全的角度调查行人和驾驶者的联合行为。假设每个玩家的有限合理性,量子响应均衡是一种特殊的游戏,具有不完整的信息。诸如冲突的风险和时间节省的解释性变量可以通过预期的实用程序函数结合到“玩家”的收益函数中。最后,可以使用期望最大化算法估计模型参数。游戏理论框架适用于在大学校园的半控制的人行横道上模拟行人摩托车交互。估计结果表明,可以量化行人车冲突的可能性。结果可能导致控制措施,促进行人和驾驶者之间的谈判,并降低半控制人行横道的冲突风险。

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