Abstract: To control the influence of hazardous materials road transportation on the ecological environment and residents, models based on multi-objective constraint conditions were built. The paper analyzed the accident rate, population exposure, environmental damage and aggregate consequences of hazardous materials transportation accident. Based on these analyses, a multi-objective optimization algorithm under static single point condition to minimize the length of route, the transportation cost and the transportation risk was designed. GRA is applied to choose a suboptimal path which has the greatest relevance with “the absolute optimal path”. Finally, the models and the algorithm were verified by developing a reasonable transportation path of styene for a certain company in China. Results show that the models and the algorithm are suitable for solving the optimization problem of the transport route of dangerous goods, and can get the optimal path with shorter transportation time, lower cost and less harm to people and environment.

Key words: hazardous materials, road transportation, normalization processing, Dijkstra algorithm, grey relational analysis(GRA)