An Adaptive Large Neighborhood Search Heuristic for the Green Dial‐a‐Ride Problem

This chapter presents a new extension of the Dial‐a‐Ride Problem (DARP), in which a fleet of Alternative Fuel Vehicles (AFVs) is considered. Due to the limited driving range, the AFVs may visit some Alternative Fuel Stations to be refueled with a partial refueling quantity during its journey to serve all users' demands. The proposed variant is called the Green DARP (G‐DARP). The chapter introduces a linear mixed‐integer mathematical formulation of the G‐DARP, and proposes an efficient Adaptive Large Neighborhood Search heuristic algorithm to solve the G‐DARP. The algorithm is supported by efficient local search operators to enhance the search and improve the quality of solutions, as well as a flexible acceptance function to more explore the search space. The chapter also presents numerical experiments to demonstrate that the solution approach provides high‐quality solutions for newly generated instances.

[1]  Gilbert Laporte,et al.  A Tabu Search Heuristic for the Static Multi-Vehicle Dial-a-Ride Problem , 2002 .

[2]  Abdullah Konak,et al.  A genetic algorithm with exact dynamic programming for the green vehicle routing & scheduling problem , 2017 .

[3]  Naoufel Cheikhrouhou,et al.  A study on the heterogeneous fleet of alternative fuel vehicles: Reducing CO2 emissions by means of biodiesel fuel , 2018, Transportation Research Part D: Transport and Environment.

[4]  E. Demir Value creation through green vehicle routing , 2018 .

[5]  Gerrit K. Janssens,et al.  Exact and meta-heuristic approach for a general heterogeneous dial-a-ride problem with multiple depots , 2014 .

[6]  Kanok Boriboonsomsin,et al.  Energy and emissions impacts of a freeway-based dynamic eco-driving system , 2009 .

[7]  Harilaos N. Psaraftis,et al.  The role of operational research in green freight transportation , 2019, Eur. J. Oper. Res..

[8]  Kris Braekers,et al.  Three effective metaheuristics to solve the multi-depot multi-trip heterogeneous dial-a-ride problem , 2016 .

[9]  Naoufel Cheikhrouhou,et al.  The dial-a-ride problem with electric vehicles and battery swapping stations , 2018, Transportation Research Part E: Logistics and Transportation Review.

[10]  Enrico Bartolini,et al.  An Exact Algorithm for the Green Vehicle Routing Problem , 2017, Transp. Sci..

[11]  Paul Shaw,et al.  Using Constraint Programming and Local Search Methods to Solve Vehicle Routing Problems , 1998, CP.

[12]  David Pisinger,et al.  An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows , 2006, Transp. Sci..

[13]  Andrew Lim,et al.  Pickup and Delivery Service with Manpower Planning in Hong Kong Public Hospitals , 2017, Transp. Sci..

[14]  W. Y. Szeto,et al.  A survey of dial-a-ride problems: Literature review and recent developments , 2018 .

[15]  Elise Miller-Hooks,et al.  A Green Vehicle Routing Problem , 2012 .

[16]  Sophie N. Parragh Introducing heterogeneous users and vehicles into models and algorithms for the dial-a-ride problem , 2011, Transportation research. Part C, Emerging technologies.

[17]  Gilbert Laporte,et al.  An adaptive large neighborhood search heuristic for the Pollution-Routing Problem , 2012, Eur. J. Oper. Res..

[18]  Tom Van Woensel,et al.  A green intermodal service network design problem with travel time uncertainty , 2016 .

[19]  Chung-Shou Liao,et al.  The electric vehicle touring problem , 2016 .

[20]  Kris Braekers,et al.  A multi-period dial-a-ride problem with driver consistency , 2016 .

[21]  T. V. Woensel,et al.  A selected review on the negative externalities of the freight transportation: Modeling and pricing , 2015 .

[22]  Eric J. Gonzales,et al.  Demand responsive transit systems with time-dependent demand: User equilibrium, system optimum, and management strategy , 2016 .

[23]  Martin W. P. Savelsbergh,et al.  The Vehicle Routing Problem with Time Windows: Minimizing Route Duration , 1992, INFORMS J. Comput..

[24]  Shen Lin Computer solutions of the traveling salesman problem , 1965 .

[25]  Gilbert Laporte,et al.  Improvements and extensions to the Miller-Tucker-Zemlin subtour elimination constraints , 1991, Oper. Res. Lett..

[26]  Biagio Ciuffo,et al.  Fuel consumption and CO2 emissions of passenger cars over the New Worldwide Harmonized Test Protocol , 2016 .

[27]  Jean-Yves Potvin,et al.  An Exchange Heuristic for Routeing Problems with Time Windows , 1995 .

[28]  Dominik Goeke,et al.  The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations , 2014, Transp. Sci..

[29]  Jorge E. Mendoza,et al.  The electric vehicle routing problem with non-linear charging functions , 2015 .

[30]  Pitu B. Mirchandani,et al.  The Vehicle Scheduling Problem for Fleets with Alternative-Fuel Vehicles , 2017, Transp. Sci..

[31]  Dominik Goeke,et al.  Solving the battery swap station location-routing problem with capacitated electric vehicles using an AVNS algorithm for vehicle-routing problems with intermediate stops , 2017 .

[32]  Kris Braekers,et al.  Typology and literature review for dial-a-ride problems , 2017, Ann. Oper. Res..

[33]  Mengyang Liu,et al.  A branch-and-cut algorithm for a realistic dial-a-ride problem , 2015 .

[34]  Kris Braekers,et al.  A hybrid Genetic Algorithm for the Heterogeneous Dial-A-Ride Problem , 2017, Comput. Oper. Res..