A Decision Support System for On-Demand Goods Delivery Using Shared Autonomous Electric Vehicles

Author:

Jaoua Amel1,Ben Ammar Marouen1,Awasthi Anjali2

Affiliation:

1. UR-OASIS, National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia

2. Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada

Abstract

This article presents a strategic decision support system (DSS) for on-demand delivery companies in urban areas. This DSS is designed and developed for the promising new concept of goods delivery based on a fleet of Shared Autonomous Electric Vehicles (SAEVs). A simulation-based optimization model is proposed to solve the fleet sizing and composition problems. The efficiency of the developed strategic DSS in determining best fleet size and composition under different scenarios is demonstrated. This article provides managerial insights to help goods delivery companies, who intend to use SAEVs, in determining the type and number of vehicles to acquire.

Publisher

IGI Global

Subject

Modeling and Simulation,General Computer Science

Reference28 articles.

1. Centralized fleet management system for cybernetic transportation

2. Autonomous Vehicle Fleet Sizes Required to Serve Different Levels of Demand

3. Burghout, W., Rigole, P. J., & Andreasson, I. (2015). Impacts of shared autonomous taxis in a metropolitan area. In Proceedings of the 94th annual meeting of the Transportation Research Board, Washington DC.

4. Optimization of the FURBOT Urban Freight Transport Scheme

5. Management of a Shared Autonomous Electric Vehicle Fleet: Implications of Pricing Schemes

Cited by 3 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3