Adaptive Large Neighborhood Search for Order Dispatching and Vacant Vehicle Rebalancing in First-Mile Ride-Sharing Services

16 Pages Posted: 21 Jul 2023

See all articles by Jinwen Ye

Jinwen Ye

University of Copenhagen

Giovanni Pantuso

University of Copenhagen

David Pisinger

Technical University of Denmark

Abstract

This article addresses the first-mile ride-sharing problem, which entails efficiently transporting passengers from a set of origins to a shared destination. Typical destinations are stations, central business districts, or hospitals. Successful optimization of this problem has the potential to alleviate congestion, reduce pollution, and enhance the overall efficiency of transportation systems. However, the inherent complexity of simultaneous order dispatching and vacant vehicle rebalancing often leads to time-consuming computations. In this study, we present an extension of the Adaptive Large Neighborhood Search (ALNS) meta-heuristic, specifically designed to tackle this problem. Through computational experiments on a diverse set of instances, we demonstrate that the proposed ALNS approach delivers high quality solutions within a short timeframe, outperforming off-the-shelf MILP solvers. Furthermore, we conduct a comprehensive case study using simulation, where we show that significant service rate improvements can be achieved by means of rebalancing activities.

Keywords: Adaptive Large Neighborhood Search, Ride-sharing, First-mile, Rebalancing, Metaheuristic

Suggested Citation

Ye, Jinwen and Pantuso, Giovanni and Pisinger, David, Adaptive Large Neighborhood Search for Order Dispatching and Vacant Vehicle Rebalancing in First-Mile Ride-Sharing Services. Available at SSRN: https://ssrn.com/abstract=4517039 or http://dx.doi.org/10.2139/ssrn.4517039

Jinwen Ye (Contact Author)

University of Copenhagen ( email )

Nørregade 10
Copenhagen, DK-1165
Denmark

Giovanni Pantuso

University of Copenhagen ( email )

Nørregade 10
Copenhagen, DK-1165
Denmark

David Pisinger

Technical University of Denmark ( email )

Anker Engelunds Vej 1
Building 101A
Lyngby, 2800
Denmark

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