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Recent Advances in Computer Science and Communications

Editor-in-Chief

ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

Research Article

Recent Advances on Urban Taxi Sharing Systems with the Path Arrival Probability

Author(s): Dui Hongyan* and Zhang Chi

Volume 14, Issue 7, 2021

Published on: 02 April, 2020

Page: [2369 - 2375] Pages: 7

DOI: 10.2174/2666255813999200402112913

Price: $65

Abstract

Background: Taxi sharing is an emerging transportation arrangement that has helped improve passengers’ travel efficiency and reduce costs. This study proposes an urban taxi sharing system.

Methods: Considering each side congestion of the transport network, their corresponding reliability and failure probability are analyzed. Under the constraints of the number of passengers and their time windows, the analysis is performed on passengers whose optimal path is inclusive.

Results: According to the optimal strategy, the different passengers can be arranged into the same taxi to realize the taxi sharing. Then the shared taxi route can be optimized.

Conclusion: Due to the reasonable vehicle route planning and passenger combination, these can effectively alleviate the traffic congestion, save the driving time, reduce the taxi no-load rate, and save the driving distance. At last, a numerical example is used to demonstrate the proposed method.

Keywords: Reliability, sharing system, route optimization, cost analysis, taxi sharing, passenger.

Graphical Abstract


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