Simulations for urban taxi sharing system on routes and passengers with numerical experiments

Hongyan Dui and Chi Zhang

Journal of Simulation, 2021, vol. 15, issue 4, 273-283

Abstract: Taxi sharing is an emerging transportation arrangement that helps improve the passengers’ travel efficiency and reduce costs. This study analyzes the simulations for an urban taxi sharing system on routes and passengers. Considering the impact of different congestion levels, the relationships between the congestion and cost are analyzed. Under the constraints of the number of passengers and their own time windows, the simulation analysis is performed on passengers. According to the optimal strategy, different passengers are arranged into the same taxi to realize the taxi sharing. 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 simulation with numerical experiments is used to demonstrate the proposed method.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/17477778.2019.1707130 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:15:y:2021:i:4:p:273-283

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20

DOI: 10.1080/17477778.2019.1707130

Access Statistics for this article

Journal of Simulation is currently edited by Christine Currie

More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().