Dynamic Estimation of Optimal Dispatching Locations for Taxi Services in Mega-Cities based on Detailed GPS Information

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• 作者：Loukas Dimitriou^* ; ^{lucdimit@ucy.ac.cy" class="auth_mail" title="E-mail the corresponding author} ; Elena Kourti^* ; ^{kourti.elena@ucy.ac.cy" class="auth_mail" title="E-mail the corresponding author} ; Christina Christodoulou^* ; ^{christodoulou.a.christina@ucy.ac.cy" class="auth_mail" title="E-mail the corresponding author} ; Vana Gkania^* ; ^{gkania.vaia@ucy.ac.cy" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Mega-Cities Mobility ; Demand Dynamics ; Taxi Fleets ; Stochastic Mapping
• 刊名：IFAC-PapersOnLine
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：49
• 期：3
• 页码：197-202
• 全文大小：2032 K

文摘

Mobility patterns has reasonably attracted research interest in recent years, especially concerning Mega-Cities. The technological advances, especially concerning sensoring, facilitates the collection and access on a massive amount of empirical data capturing in high resolution urban mobility. The introduction and spread of location tracking devices and services provide the means for collecting reliable real-time data, particularly valuable for industrial as well as for personal applications. The scope of this paper aims to capture and mapping dynamic demand patterns in Mega-cities as this is exposed in taxi operations. Then the collective taxi services utilization appraisal is performed, identifying taxi operations characteristics that may optimize fleet performance. A large-scale dataset from New York City is analyzed, visualized and presented, providing evidence on the benefits from advanced dynamic mapping tools deployment in estimating optimal strategies for taxi operations.