Time dependent green VRP with alternative fuel powered vehicles

Hooshmand, F.; MirHassani, S. A.

doi:10.1007/s12667-018-0283-y

Cited by 23 publications

(10 citation statements)

References 32 publications

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“…Here, congested routes in an urban network were discarded to reduce carbon emissions and to minimize both objectives via a PSO algorithm so as to attain the highest quality of Pareto optimal solutions. Hooshmand and MirHassani (2019) propose a new extension of TDVRP considering alternative greenfuel powered vehicles to minimize CO2 emissions. Then, a hybrid heuristic algorithm is used to solve the mixed integer mathematical model to solve large instances.…”

Section: Energy-minimizing Vehicle Routing Problemmentioning

confidence: 99%

The green vehicle routing problem: A systematic literature review

Moghdani

Salimifard

Demir

et al. 2021

Journal of Cleaner Production

156

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Recent decades have seen increasing utilization of optimization packages, based on Operations Research and Mathematical Programming techniques, for effective management of the provision of goods and services in distribution systems. Large numbers of real-world applications, both in North America and Europe, have widely shown that the use of computerized procedures for distribution process planning produces substantial savings (generally from 5% to 20%) in global transportation costs. It is easy to see that the impact of these savings on the global economic system is significant. The transportation process involves all stages of production and distribution systems and represents a relevant component (generally from 10% to 20%) of the final cost of goods. The green vehicle routing problem (GVRP) is an emerging research field that attracts many researchers. This survey paper aims to classify and review the literature on GVRPs from various perspectives. This paper covers publications between 2006 and 2019 including 309 papers. To this end, a systematic literature review has been implemented in order to respond to corresponding questions related to this area and proposed an extensive structure compromising various aspects including variants of GVRPs, objective functions, uncertainty, and solutions approach to analyze GVRPs studies in different perspectives. Some new research areas have been drawn based on problem classification, uncertainties, solution methodologies, and finally, the objective function approaches for future research directions and the results of this study show that researches on GVRPs are relatively fresh and there is still a room for large improvements in several areas.

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Section: Energy-minimizing Vehicle Routing Problemmentioning

confidence: 99%

The green vehicle routing problem: A systematic literature review

Moghdani

Salimifard

Demir

et al. 2021

Journal of Cleaner Production

156

View full text Add to dashboard Cite

show abstract

“…The focus here is on the limited range of the vehicles, as well as on the scarce availability of refueling stations. Likewise, in a recent work developed by Hooshmand and MirHassani [49], simulated annealing is chosen for solving a very similar problem with electric vehicles. Their heuristic algorithm follows a two-step approach.…”

Section: Strategies Based On Greening the Objective Functionmentioning

confidence: 99%

Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities

et al. 2020

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From airplanes to electric vehicles and trains, modern transportation systems require large quantities of energy. These vast amounts of energy have to be produced somewhere—ideally by using sustainable sources—and then brought to the transportation system. Energy is a scarce and costly resource, which cannot always be produced from renewable sources. Therefore, it is critical to consume energy as efficiently as possible, that is, transportation activities need to be carried out with an optimal intake of energetic means. This paper reviews existing work on the optimization of energy consumption in the area of transportation, including road freight, passenger rail, maritime, and air transportation modes. The paper also analyzes how optimization methods—of both exact and approximate nature—have been used to deal with these energy-optimization problems. Finally, it provides insights and discusses open research opportunities regarding the use of new intelligent algorithms—combining metaheuristics with simulation and machine learning—to improve the efficiency of energy consumption in transportation.

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“…However, a piecewise function can describe time-varying speeds more precisely, in the absence of statistics [21]. When vehicle speeds are replaced by traffic volumes, these models are further expanded to time-dependent DRT and DRASS [22,23]. Also, the vehicle speed may also be used as an additional decision variable in time-dependent models, which is useful in reducing the waiting time for all customers [24,25].…”

Section: Literaturementioning

confidence: 99%

A Green Demand-Responsive Airport Shuttle Service Problem with Time-Varying Speeds

Wei

Jing

Yin

et al. 2020

Journal of Advanced Transportation

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This study proposes a multiobjective mixed integer linear programming (MOMILP) model for a demand-responsive airport shuttle service. The approach aims to assign a set of alternative fuel vehicles (AFVs) located at different depots to visit each demand point within the specified time and transport all of them to the airport. The proposed model effectively captures the interactions between path selection and environmental protection. Moreover, users with flexible pick-up time windows, the time-varying speed of vehicles on the road network, and the limited fuel for the route duration are also fully considered in this model. The work aims at simultaneously minimizing the operating cost, vehicle fuel consumption, and CO2 emissions. Since this task is an NP-hard problem, a heuristic-based nondominated sorting genetic algorithm (NSGA-II) is also presented to find Pareto optimal solutions in a reasonable amount of time. Finally, a real-world example is provided to illustrate the proposed methodology. The results demonstrate that the model not only selects an optimal depot for each AFV but also determines its route and timetable plan. A sensitivity analysis is also given to assess the effect of early/late arrival penalty weights and the number of AFVs on the model performance, and the difference in quality between the proposed and traditional models is compared.

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Time dependent green VRP with alternative fuel powered vehicles

Cited by 23 publications

References 32 publications

The green vehicle routing problem: A systematic literature review

The green vehicle routing problem: A systematic literature review

Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities

A Green Demand-Responsive Airport Shuttle Service Problem with Time-Varying Speeds

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