Demand-Responsive Shared Transportation: A Self-Interested Proposal

Author:

Martí PasqualORCID,Jordán JaumeORCID,De la Prieta FernandoORCID,Billhardt HolgerORCID,Julian VicenteORCID

Abstract

With the world population highly increasing, efficient methods of transportation are more necessary than ever. On the other hand, the sharing economy must be explored and applied where possible, aiming to palliate the effects of human development on the environment. In this paper we explore demand-responsive shared transportation as a system with the potential to serve its users’ displacement needs while being less polluting. In contrast with previous works, we focus on a distributed proposal that allows each vehicle to retain its private information. Our work describes a partially dynamic system in which the vehicles are self-interested: they decide which users to serve according to the benefit it reports them. With our modelling, the system can be adapted to mobility platforms of autonomous drivers and even simulate the competition among different companies.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimating the willingness-to-pay of local residents and tourists for shared demand responsive transit services;Transportation Planning and Technology;2024-09-04

2. A Neural-Evolutionary Algorithm for Autonomous Transit Network Design;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. A Survey on Demand-Responsive Transportation for Rural and Interurban Mobility;International Journal of Interactive Multimedia and Artificial Intelligence;2023

4. Advances in Sustainable Smart Cities and Territories;Electronics;2022-04-18

5. Demand-Responsive Mobility for Rural Areas: A Review;Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection;2022

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