A Vehicle Routing Planning Method for the City Logistics Considering Carbon Emissions

Project Details


The concept of "city logistics" is to apply physical-flows methods and tools to the physical goodsdistribution, service provision, or waste removal, etc. within the geographic area of one city. Due to itslogistics and distribution activities only occurred in one city scope, its transport vehicles are mainly smallvehicles; and because of the speed limit in the metropolitan area, and the traffic flow is more crowded andother factors, the distribution of goods is usually at low speed. And when reach the demand point, they oftenbe asked to complete goods delivery or services without turning off the vehicle. These characteristics oftenlead to an increase in carbon oxide emission (CO emission) and air pollution.According to the International Energy Agency statistics, greenhouse gas produced by human activitiesis about 50 million tons of CO2 a year, of which 5.5% are generated by the transport of goods, and transportof goods produced by pollution, congestion problem in the metropolitan area is more serious. Therefore,how to carry out efficient delivery of goods in the metropolitan area, taking into account the negative effectsof carbon emissions, will be an issue that cannot be ignored in the future urban development. Although theapplication of Vehicle Routing Problems (VRP) in regional logistics has developed several differentscenarios, these models are mostly based on the geographical distribution of large-scale logistics, andcannot fully meet the above characteristics of the city logistics situation.To solve above problems, this research will develop a model of city green logistics that cansimultaneously consider the "city logistics distribution efficiency" and "city metropolitan area carbonemissions". This method is based upon the city distribution networks model, and adds the characteristics ofcity geographic range, the situation of city logistics such as the small vehicles as the means oftransportation, the degree of traffic congestion, the speed of vehicles, the function of carbon emission'sfactor, try to develop a set of planning algorithm under various constraints to obtain the goods distributionroute combination. The results are presented in heuristics and can be effectively solved in a certain degreeof complexity, so as to be applied to the future information system of intelligent city logistics.
Effective start/end date1/08/1731/07/18

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action
  • SDG 17 - Partnerships for the Goals


  • City logistics
  • Carbon emissions
  • Vehicle routing planning
  • (VRP)


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.