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A time-dependent model with speed windows for share-a-ride problems: A case study for Tokyo transportation

机译:带有时间窗的时变模型,解决共享问题:东京交通的案例研究

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This paper introduces a new fully time-dependent model of a public transportation system in the urban context that allows sharing a taxi between one passenger and parcels with speed widows consideration. The model contains many real-life case features and is presented by a mathematical formulation. We study both static and dynamic scenarios in comparison to traditional strategies, i.e., the direct delivery model. Moreover, we classify speed windows by different zones and congestion levels during a day in the urban context. Different speed windows induce the dynamic graph model for road networks and make the problem much more difficult to solve. Because of the complex model, the preprocessing steps on data as well as on dynamic graphs are very important. We use a greedy algorithm to initiate the solution and then use some local search techniques to improve the solution quality. The experimental data set is recorded by Tokyo-Musen Taxi company. The data set includes more than 20000 requests per day, more than 4500 used taxis per day and more than 130000 crossing points on the Tokyo map. Experimental results are analyzed on various factors such as the total benefit, the accumulating traveling time during the day, the number of used taxis and the number of shared requests.
机译:本文介绍了一种新的完全依赖时间的城市公共交通系统模型,该模型允许考虑到寡妇的情况在一个乘客和包裹之间共享出租车。该模型包含许多现实生活中的案例特征,并通过数学公式表示。与传统策略(即直接投放模型)相比,我们研究了静态和动态情况。此外,我们根据城市环境中一天中不同区域和拥堵程度对速度窗口进行分类。不同的速度窗口会引发道路网络的动态图形模型,并使问题更加难以解决。由于模型复杂,因此对数据以及动态图的预处理步骤非常重要。我们使用贪婪算法来启动解决方案,然后使用一些本地搜索技术来提高解决方案的质量。实验数据集由Tokyo-Musen Taxi公司记录。数据集包括每天超过20000次请求,每天超过4500辆二手出租车和东京地图上超过130000个过境点。分析了各种因素的实验结果,例如总收益,一天中累积的行驶时间,使用的出租车数量和共享请求的数量。

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