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

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

Amel Jaoua (UR-OASIS, National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia), Marouen Ben Ammar (UR-OASIS, National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia) and Anjali Awasthi (Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada)
Copyright: © 2019 |Pages: 17
DOI: 10.4018/IJDSST.2019040105

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.
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Literature Review

Numerous experiments are currently underway, in different parts of the world, to design innovative transport systems aiming to improve the quality of urban life. Three words are common between most of these innovative systems: autonomous, electric, shared vehicles. This concept is presented as the future of our transportation systems since it will considerably change the way people and goods are moved in urban environments.

There is a wealth of literature investigating the potential outcomes of car sharing, electric vehicles and autonomous vehicles in city logistics as separate topics. However, studies inspecting the combination of these concepts together are more limited. Table 1 summarizes the reviewed studies that examined the operations of shared autonomous vehicle fleets for both people and freight transport. Some of these studies used a fleet of shared autonomous petroleum-fueled vehicles (SAPVs) while others have considered the use of Electric Vehicles in Shared Autonomous fleets (SAEVs).

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