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MODELING PARKING CHOICE BEHAVIOR WITHOUT PARKING INFORMATION

机译:在没有停车信息的情况下建模停车选择行为

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摘要

Ascertaining parking choice behavior without parking information is a key task for quantitatively analyzing the benefit of parking guidance system, it can be contrasted with parking choice behavior with all parking information. In the paper parking choice behavior without parking information is divided into parking route choice and parking lots choice. Logit probability model is applied to simulate parking route choice, the factor of the model is the walking distance between the expected parking lot and the destination by selecting turning movements, it is consisted of the direct walking distance and the distance that is equivalently converted from the waitting time in the intersection. In the process of parking lots choice, uncertain parking information are converted to imperfect parking information by probability analysis, and the expectation of factor is regarded as the variable value of Multinomial Logit parking choice model for solving the probability of parking lots choice. Finally, a simple example is provided and the result shows the model is feasible.
机译:在没有泊车信息的情况下确定泊车选择行为是定量分析泊车引导系统优势的一项关键任务,可以与具有所有泊车信息的泊车选择行为进行对比。在没有停车信息的纸上停车选择行为中,分为停车路线选择和停车位选择。采用Logit概率模型来模拟停车路线选择,该模型的因素是通过选择转弯运动而在预期停车场和目的地之间的步行距离,它由直接步行距离和等距转换成的距离组成。在十字路口等待时间。在停车位选择过程中,通过概率分析将不确定的停车信息转换为不完善的停车信息,并将因子期望值作为多项式Lo​​git停车选择模型的变量值,解决了停车位选择的概率问题。最后,给出一个简单的例子,结果表明该模型是可行的。

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