Abstract
Abstract: 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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
