Abstract
The emergence of ridesplitting as a form of ridesourcing reduces the use of vehicles on the road. When connecting multiple ridesplitting orders and single orders to the sharing path, it can achieve higher sharing efficiency. This paper aims to further improve the vehicle sharing rate, and explore the impact of multi-mode sharing using the order data of Haikou, China provided by DiDi Chuxing. A shareability network combining the ridesplitting network and connection network is built based on the order data. We propose the on-demand matching algorithm with four matching objectives to obtain the dispatching strategy. The results show that the percentage of shared trips can reach 99%, the vehicle saving rate can reach 83%, and the average number of shared trips served by shared vehicles can reach about 6 with the time interval 20 min and maximum delay 300 s. When the maximum delay is 300 s, the percentage of orders that can be shared by multiple modes is about 30%. The average delay, idling time and waiting time of shared orders are slightly higher than the corresponding maximum delay, and increase with the increase of the maximum delay, while the change of saving time is the opposite. The proposed algorithm considers the impact of the maximum delay, which, compared with the maximum matching algorithm, has a significant improvement.
Published Version
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.
