Electric vehicle routing problem with recharging stations for minimizing energy consumption

Abstract Due to growing environmental concerns about greenhouse gas (GHG) emissions, people are more incline to use electric vehicles in various distribution services. Because of the limited battery capacity, electric vehicles are required to visit recharging stations en-route. Therefore, the routing schemes of conventional vehicles may not be suitable as the routing schemes of electric vehicles. In this paper, the Electric Vehicle Routing Problem (EVRP) is introduced, and the corresponding mathematical model is formulated. The EVRP seeks to minimize the energy consumption of electric vehicles. The comprehensive calculation of energy consumption used by electric vehicles is provided in the EVRP model. An ant colony (AC) algorithm based meta-heuristics is proposed as the solution method of the EVRP. The effectiveness of the proposed algorithms is evaluated through extensive numerical experiments on the newly generated instances. We also illustrate the benefits of using an energy consumption-minimizing objective function rather than a distance-minimizing objective function for routing electric vehicles.

[1]  Gilbert Laporte,et al.  A review of recent research on green road freight transportation , 2014, Eur. J. Oper. Res..

[2]  Yoshinori Suzuki,et al.  A dual-objective metaheuristic approach to solve practical pollution routing problem , 2016 .

[3]  Thomas Sterner,et al.  Global warming: Improve economic models of climate change , 2014, Nature.

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

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

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

[7]  Yuvraj Gajpal,et al.  Multi-ant colony system (MACS) for a vehicle routing problem with backhauls , 2009, Eur. J. Oper. Res..

[8]  Christelle Guéret,et al.  A multi-space sampling heuristic for the green vehicle routing problem , 2016 .

[9]  Gilbert Laporte,et al.  The Pollution-Routing Problem , 2011 .

[10]  Dominik Goeke,et al.  Routing a mixed fleet of electric and conventional vehicles , 2015, Eur. J. Oper. Res..

[11]  A. Palmer The development of an integrated routing and carbon dioxide emissions model for goods vehicles , 2007 .

[12]  Richard W. Eglese,et al.  Vehicle routing and scheduling with time-varying data: A case study , 2010, J. Oper. Res. Soc..

[13]  Thibaut Vidal,et al.  A speed and departure time optimization algorithm for the pollution-routing problem , 2015, Eur. J. Oper. Res..

[14]  Andrew G Simpson Parametric modelling of energy consumption in road vehicles , 2005 .

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

[16]  Helena Ramalhinho Dias Lourenço,et al.  Iterated Local Search , 2001, Handbook of Metaheuristics.

[17]  Tarek Y. ElMekkawy,et al.  Hybridized ant colony algorithm for the Multi Compartment Vehicle Routing Problem , 2015, Appl. Soft Comput..

[18]  Yuvraj Gajpal,et al.  Optimizing garbage collection vehicle routing problem with alternative fuel-powered vehicles , 2017 .

[19]  Stefan Irnich,et al.  Exact Algorithms for Electric Vehicle-Routing Problems with Time Windows , 2014, Oper. Res..

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

[21]  Bülent Çatay,et al.  Partial recharge strategies for the electric vehicle routing problem with time windows , 2016 .

[22]  Thibaut Vidal,et al.  A matheuristic approach for the Pollution-Routing Problem , 2014, Eur. J. Oper. Res..

[23]  Sai Ho Chung,et al.  Survey of Green Vehicle Routing Problem: Past and future trends , 2014, Expert Syst. Appl..

[24]  Giovanni Righini,et al.  A heuristic approach for the green vehicle routing problem with multiple technologies and partial recharges , 2014 .

[25]  M. Resende,et al.  A probabilistic heuristic for a computationally difficult set covering problem , 1989 .

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

[27]  Gilbert Laporte,et al.  The bi-objective Pollution-Routing Problem , 2014, Eur. J. Oper. Res..

[28]  Bin Yu,et al.  An ant colony optimization model: The period vehicle routing problem with time windows , 2011 .

[29]  Gilbert Laporte,et al.  Battery degradation and behaviour for electric vehicles: Review and numerical analyses of several models , 2017 .

[30]  Miguel A. Figliozzi,et al.  An economic and technological analysis of the key factors affecting the competitiveness of electric commercial vehicles: A case study from the USA market , 2013 .

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

[32]  Jacqueline M. Bloemhof,et al.  The time dependent two echelon capacitated vehicle routing problem with environmental considerations , 2015 .

[33]  Pei-Chann Chang,et al.  A block recombination approach to solve green vehicle routing problem , 2015 .

[34]  Baozhen Yao,et al.  Production , Manufacturing and Logistics An improved ant colony optimization for vehicle routing problem , 2008 .

[35]  Weili Xue,et al.  Vehicle routing problem with fuel consumption and carbon emission , 2015 .

[36]  Richard F. Hartl,et al.  An improved Ant System algorithm for theVehicle Routing Problem , 1999, Ann. Oper. Res..

[37]  Keisuke Murakami,et al.  A new model and approach to electric and diesel-powered vehicle routing , 2017 .

[38]  Gilbert Laporte,et al.  The time-dependent pollution-routing problem , 2013 .

[39]  Marco Dorigo,et al.  Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[40]  Roxanne Evering,et al.  An ant colony algorithm for the multi-compartment vehicle routing problem , 2014, Appl. Soft Comput..

[41]  Michaël Schyns,et al.  An ant colony system for responsive dynamic vehicle routing , 2015, Eur. J. Oper. Res..

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

[43]  Gilbert Laporte,et al.  The fleet size and mix pollution-routing problem , 2014 .