Bus Ridesharing for Millions of Passengers

In urban public transit, the ever-evolving and diversifying demands of the public pose significant constraints on bus operations due to their adherence to fixed routes.To meet the desire for low-cost and flexible travel, this paper proposes a high-capacity bus ridesharing service that can be implemented in any city worldwide.This service will transform buses from adhering to fixed routes to customizing personalized routes based on the destinations of ridesharing passengers.Passengers can submit their travel requests via mobile devices, and upon receiving these requests, the operator will dispatch suitable buses to provide service, ensuring that each passenger arrives at their destination within the allotted time.Utilizing urban public transit's passenger flow distribution, we have developed an experimental platform to emulate real-world bus travel behaviors.Our testing involved a genuine dataset of taxi requests and a simulated bus dataset representing the movements of 4.1 million individual in Chengdu city, China.

Publication Details

Journal
Proceedings
Published
2024-10-26
DOI
https://doi.org/10.18293/dmsviva2024-093
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

Bus Ridesharing for Millions of Passengers

Proceedings
Transportation and Mobility Innovations
article

Bus Ridesharing for Millions of Passengers

article en

Abstract

In urban public transit, the ever-evolving and diversifying demands of the public pose significant constraints on bus operations due to their adherence to fixed routes.To meet the desire for low-cost and flexible travel, this paper proposes a high-capacity bus ridesharing service that can be implemented in any city worldwide.This service will transform buses from adhering to fixed routes to customizing personalized routes based on the destinations of ridesharing passengers.Passengers can submit their travel requests via mobile devices, and upon receiving these requests, the operator will dispatch suitable buses to provide service, ensuring that each passenger arrives at their destination within the allotted time.Utilizing urban public transit's passenger flow distribution, we have developed an experimental platform to emulate real-world bus travel behaviors.Our testing involved a genuine dataset of taxi requests and a simulated bus dataset representing the movements of 4.1 million individual in Chengdu city, China.

ProceedingsVol. 2024
Openalex Percentile: Top 37%
Transportation and Mobility Innovations
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