Vehicle Routing Optimization With Fuel Consumption And Multi-types Vehicle Considered Under Traffic Flow Variety

With the appearance of resource shortage,environmental pollution and other issues,people are paying more and more attention to energy conservation,green and other development ideologies.Thus,each logistics enterprises begin to focus on vehicle fuel consumption problem in the distribution processes.On the one hand,enterprises need take into account each factor that affects vehicle fuel consumption in the distribution processes.Distribution routing need to be arranged under the constraints of various conditions to cut costs and improve competitiveness.On the other hand,enterprises can assume social responsibility of saving resources and protecting environment.The traffic flow and vehicle type that influence fuel consumption were considered.When customers' demands were fuzzy,the changes of routing optimization result were discussed.At a given preference value,the plan was explored.Firstly,current situation domestic and abroad and actual distribution were summarized.The main problems were analyzed.The theory of logistics distribution and vehicle routing problem were discussed.Secondly,the factors were analyzed that impact vehicle fuel consumption.Vehicle load,speed,distance,traffic flow and vehicle type were considered.Then,vehicle fuel consumption calculation model was revised.The consumers' fuzzy demand was considered.According to fuzzy set and credibility theory,the fuzzy chance constraint model was built aiming to minimize the fixed using cost of vehicle,the planned fuel consumption cost and the additional fuel consumption cost.Thirdly,The mutation genetic algorithm were designed.Lastly,according to a simulation analysis,the model was solved.The results show that the subjective preference of decision maker has an important influence on costs.The reasonable subjective preference value can be selected to minimize costs.The plan can better reduce cost,improve vehicle utilization coefficient at a given value.