Routing a mixed fleet of electric and conventional vehicles under regulations of carbon emissions

References

• Asghari, Mohammad, and S. Mohammad J. Mirzapour Al-e-hashem. 2021. “Green Vehicle Routing Problem: A State-of-the-art Review.” International Journal of Production Economics 231:107899. https://doi.org/10.1016/j.ijpe.2020.107899.
   Web of Science ®Google Scholar
• Cermak, J. E., and K. Takeda. 1985. “Physical Modeling of Urban Air-pollutant Transport.” Journal of Wind Engineering and Industrial Aerodynamics 21 (1): 51–67. https://doi.org/10.1016/0167-6105(85)90033-9.
   Web of Science ®Google Scholar
• Chai, Qiangfei, Zhongdong Xiao, Kee-hung Lai, and Guanghui Zhou. 2018. “Can Carbon Cap and Trade Mechanism Be Beneficial for Remanufacturing.” International Journal of Production Economics 203:311–321. https://doi.org/10.1016/j.ijpe.2018.07.004.
   Web of Science ®Google Scholar
• Chen, Jiaxin, Wenzhu Liao, and Chengwei Yu. 2021. “Route Optimization for Cold Chain Logistics of Front Warehouses Based on Traffic Congestion and Carbon Emission.” Computers & Industrial Engineering 161:107663. https://doi.org/10.1016/j.cie.2021.107663.
   Web of Science ®Google Scholar
• Cinar, Didem, Beyzanur Cayir Ervural, Konstantinos Gakis, and Panos M. Pardalos. 2017. “Constructive algorithms for the cumulative vehicle routing problem with limited duration.” Sustainable Logistics and Transportation: Optimization Models and Algorithms, pp. 57–86.
   Google Scholar
• Dantzig, George B., and John H. Ramser. 1959. “The Truck Dispatching Problem.” Management Science 6 (1): 80–91. https://doi.org/10.1287/mnsc.6.1.80.
   Web of Science ®Google Scholar
• Demir, Emrah, Tolga Bektaş, and Gilbert Laporte. 2012. “An Adaptive Large Neighborhood Search Heuristic for the Pollution-routing Problem.” European Journal of Operational Research 223 (2): 346–359. https://doi.org/10.1016/j.ejor.2012.06.044.
   Web of Science ®Google Scholar
• Demir, Emrah, Tolga Bektaş, and Gilbert Laporte. 2014. “A Review of Recent Research on Green Road Freight Transportation.” European Journal of Operational Research 237 (3): 775–793. https://doi.org/10.1016/j.ejor.2013.12.033.
   Web of Science ®Google Scholar
• Goeke, Dominik, and Michael Schneider. 2015. “Routing a Mixed Fleet of Electric and Conventional Vehicles.” European Journal of Operational Research 245 (1): 81–99. https://doi.org/10.1016/j.ejor.2015.01.049.
   Web of Science ®Google Scholar
• Ho, William, George T. S. Ho, Ping Ji, and Henry C. W. Lau. 2008. “A Hybrid Genetic Algorithm for the Multi-depot Vehicle Routing Problem.” Engineering Applications of Artificial Intelligence 21 (4): 548–557. https://doi.org/10.1016/j.engappai.2007.06.001.
   Web of Science ®Google Scholar
• Juan, Angel A., Jarrod Goentzel, and Tolga Bektaş. 2014. “Routing Fleets with Multiple Driving Ranges: Is it Possible to Use Greener Fleet Configurations.” Applied Soft Computing 21:84–94. https://doi.org/10.1016/j.asoc.2014.03.012.
   Web of Science ®Google Scholar
• Jung, Jaeyoung, and R. Jayakrishnan. 2012. “High-coverage Point-to-point Transit: Electric Vehicle Operations.” Transportation Research Record 2287 (1): 44–53. https://doi.org/10.3141/2287-06.
   Google Scholar
• Keskin, Merve, and Bülent Çatay. 2016. “Partial Recharge Strategies for the Electric Vehicle Routing Problem with Time Windows.” Transportation Research Part C: Emerging Technologies 65:111–127. https://doi.org/10.1016/j.trc.2016.01.013.
   Web of Science ®Google Scholar
• Keskin, Merve, Gilbert Laporte, and Bülent Çatay. 2019. “Electric Vehicle Routing Problem with Time-dependent Waiting Times At Recharging Stations.” Computers & Operations Research 107:77–94. https://doi.org/10.1016/j.cor.2019.02.014.
   Web of Science ®Google Scholar
• Kwon, Yong-Ju, Young-Jae Choi, and Dong-Ho Lee. 2013. “Heterogeneous Fixed Fleet Vehicle Routing Considering Carbon Emission.” Transportation Research Part D: Transport and Environment 23:81–89. https://doi.org/10.1016/j.trd.2013.04.001.
   Web of Science ®Google Scholar
• Li, Yan, Ming K. Lim, Jiayao Hu, and Ming-Lang Tseng. 2020. “Investigating the Effect of Carbon Tax and Carbon Quota Policy to Achieve Low Carbon Logistics Operations.” Resources, Conservation and Recycling 154:104535. https://doi.org/10.1016/j.resconrec.2019.104535.
   Web of Science ®Google Scholar
• Liao, Wenzhu, Lin Liu, and Jiazhuo Fu. 2019. “A Comparative Study on the Routing Problem of Electric and Fuel Vehicles Considering Carbon Trading.” International Journal of Environmental Research and Public Health 16 (17): 3120. https://doi.org/10.3390/ijerph16173120.
   PubMed Web of Science ®Google Scholar
• Ma, Xin, William Ho, Ping Ji, and Srinivas Talluri. 2018. “Coordinated Pricing Analysis with the Carbon Tax Scheme in a Supply Chain.” Decision Sciences 49 (5): 863–900. https://doi.org/10.1111/deci.2018.49.issue-5.
   Web of Science ®Google Scholar
• Mao, Huiting, Jianmai Shi, Yuzhen Zhou, and Guoqing Zhang. 2020. “The Electric Vehicle Routing Problem with Time Windows and Multiple Recharging Options.” IEEE Access 8:114864–114875. https://doi.org/10.1109/Access.6287639.
   Web of Science ®Google Scholar
• Maybury, Lucy, Padraig Corcoran, and Liana Cipcigan. 2022. “Mathematical Modelling of Electric Vehicle Adoption: A Systematic Literature Review.” Transportation Research Part D: Transport and Environment 107:103278. https://doi.org/10.1016/j.trd.2022.103278.
   Web of Science ®Google Scholar
• Micheli, Guido J. L., and Fabio Mantella. 2018. “Modelling An Environmentally-extended Inventory Routing Problem with Demand Uncertainty and a Heterogeneous Fleet Under Carbon Control Policies.” International Journal of Production Economics 204:316–327. https://doi.org/10.1016/j.ijpe.2018.08.018.
   Web of Science ®Google Scholar
• Montoya, Alejandro, Christelle Guéret, Jorge E. Mendoza, and Juan G. Villegas. 2017. “The Electric Vehicle Routing Problem with Nonlinear Charging Function.” Transportation Research Part B: Methodological 103:87–110. https://doi.org/10.1016/j.trb.2017.02.004.
   Web of Science ®Google Scholar
• Panicker, Vinay V., R. Sridharan, and E. Jabir. 2022. “Environmental Friendly Route Design for a Milk Collection Problem: The Case of An Indian Dairy.” International Journal of Production Research 60 (3): 912–941. https://doi.org/10.1080/00207543.2020.1846219.
   Web of Science ®Google Scholar
• Piecyk, Maja I., and Alan C. McKinnon. 2010. “Forecasting the Carbon Footprint of Road Freight Transport in 2020.” International Journal of Production Economics 128 (1): 31–42. https://doi.org/10.1016/j.ijpe.2009.08.027.
   Web of Science ®Google Scholar
• Qin, Wei, Zilong Zhuang, Zizhao Huang, and Haozhe Huang. 2021. “A Novel Reinforcement Learning-based Hyper-heuristic for Heterogeneous Vehicle Routing Problem.” Computers & Industrial Engineering 156:107252. https://doi.org/10.1016/j.cie.2021.107252.
   Web of Science ®Google Scholar
• Schneider, Michael, Andreas Stenger, and Dominik Goeke. 2014. “The Electric Vehicle-routing Problem with Time Windows and Recharging Stations.” Transportation Science 48 (4): 500–520. https://doi.org/10.1287/trsc.2013.0490.
   Web of Science ®Google Scholar
• Shen, Ling, Fengming Tao, and Songyi Wang. 2018. “Multi-depot Open Vehicle Routing Problem with Time Windows Based on Carbon Trading.” International Journal of Environmental Research and Public Health 15 (9): 2025. https://doi.org/10.3390/ijerph15092025.
   PubMed Web of Science ®Google Scholar
• Srinivas, Mandavilli, and Lalit M. Patnaik. 1994. “Adaptive Probabilities of Crossover and Mutation in Genetic Algorithms.” IEEE Transactions on Systems, Man, and Cybernetics 24 (4): 656–667. https://doi.org/10.1109/21.286385.
   Web of Science ®Google Scholar
• Stockkamp, Carolin, Juliane Schäfer, Jan A. Millemann, and Sven Heidenreich. 2021. “Identifying Factors Associated with Consumers' Adoption of E-mobility–A Systematic Literature Review.” Sustainability 13 (19): 10975. https://doi.org/10.3390/su131910975.
   Web of Science ®Google Scholar
• Vincent, F. Yu., Panca Jodiawan, and Aldy Gunawan. 2021. “An Adaptive Large Neighborhood Search for the Green Mixed Fleet Vehicle Routing Problem with Realistic Energy Consumption and Partial Recharges.” Applied Soft Computing 105:107251. https://doi.org/10.1016/j.asoc.2021.107251.
   Web of Science ®Google Scholar
• Wang, Songyi, Fengming Tao, Yuhe Shi, and Haolin Wen. 2017. “Optimization of Vehicle Routing Problem with Time Windows for Cold Chain Logistics Based on Carbon Tax.” Sustainability 9 (5): 694. https://doi.org/10.3390/su9050694.
   Web of Science ®Google Scholar
• Wang, Yong, Qin Li, Xiangyang Guan, Jianxin Fan, Maozeng Xu, and Haizhong Wang. 2021. “Collaborative Multi-depot Pickup and Delivery Vehicle Routing Problem with Split Loads and Time Windows.” Knowledge-Based Systems 231:107412. https://doi.org/10.1016/j.knosys.2021.107412.
   Web of Science ®Google Scholar
• Wang, Yong, Shouguo Peng, and Min Xu. 2021. “Emergency Logistics Network Design Based on Space–time Resource Configuration.” Knowledge-Based Systems 223:107041. https://doi.org/10.1016/j.knosys.2021.107041.
   Web of Science ®Google Scholar
• Wang, Yong, Shouguo Peng, Xuesong Zhou, Monirehalsadat Mahmoudi, and Lu Zhen. 2020. “Green Logistics Location-routing Problem with Eco-packages.” Transportation Research Part E: Logistics and Transportation Review 143:102118. https://doi.org/10.1016/j.tre.2020.102118.
   Web of Science ®Google Scholar
• Wang, Yong, Xiuwen Wang, Jianxin Fan, Zheng Wang, and Lu Zhen. 2023. “Emergency Logistics Network Optimization with Time Window Assignment.” Expert Systems with Applications 214:119145. https://doi.org/10.1016/j.eswa.2022.119145.
   PubMed Web of Science ®Google Scholar
• Wang, Yong, Zheng Wang, Xiangpei Hu, Guiqin Xue, and Xiangyang Guan. 2022. “Truck–drone Hybrid Routing Problem with Time-dependent Road Travel Time.” Transportation Research Part C: Emerging Technologies 144:103901. https://doi.org/10.1016/j.trc.2022.103901.
   Web of Science ®Google Scholar
• Xiao, Yiyong, Qiuhong Zhao, Ikou Kaku, and Yuchun Xu.. 2012. “Development of a Fuel Consumption Optimization Model for the Capacitated Vehicle Routing Problem.” Computers & Operations Research 39 (7): 1419–1431. https://doi.org/10.1016/j.cor.2011.08.013.
   Web of Science ®Google Scholar
• Zhang, Shuai, Mingzhou Chen, and Wenyu Zhang. 2019. “A Novel Location-routing Problem in Electric Vehicle Transportation with Stochastic Demands.” Journal of Cleaner Production 221:567–581. https://doi.org/10.1016/j.jclepro.2019.02.167.
   Web of Science ®Google Scholar
• Zhang, Shuzhu, C. K. M. Lee, K. L. Choy, William Ho, and W. H. Ip. 2014. “Design and Development of a Hybrid Artificial Bee Colony Algorithm for the Environmental Vehicle Routing Problem.” Transportation Research Part D: Transport and Environment 31:85–99. https://doi.org/10.1016/j.trd.2014.05.015.
   Web of Science ®Google Scholar