01555190

Component

This research defines and formulates a green vehicle routing problem which takes into account not only the vehicle operational cost, but also the environmental cost including fuel cost and emission cost. A mixed integer linear programming approach is then applied to solve for the green vehicle routing problem. The model is evaluated with a real-world case study extracted from the 2005-2006 Texas Commercial Vehicle Surveys [1]–[3]. In the case study, three strategies, i.e., minimizing total generalized cost, minimizing travel time only, and minimizing energy consumption only are compared with each other and with the actual observed routing strategy from the survey data. The results demonstrate that vehicle load and speed are important input to routing strategies when energy and emission costs are considered in the total generalized cost function. The routing strategy based on the optimal total generalized cost represents a trade-off between travel time and energy consumption. The results also suggest significant practical implications to improvement of the real-world vehicle routing practice in the trucking industry.

This paper was sponsored by TRB committee AT015 Freight Transportation Planning and Logistics.

01550057

15-1112

English

20p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Case studies; Energy consumption; Loads; Mixed integer programming; Operating speed; Optimization; Pollutants; Routing; Sustainable transportation; Trucking

Vehicle routing problem

Texas

Environment; Freight Transportation; Highways; Planning and Forecasting; Vehicles and Equipment; I15: Environment; I72: Traffic and Transport Planning; I90: Vehicles

Transportation Research Board Annual Meeting 2015 Paper #15-1112

TRIS, TRB, ATRI

Dec 30 2014 12:27PM