Abstract
The transportation accident of hazardous materials possibly causes heavy personnel casualties, long-term environmental pollution and huge economic losses, the public and the media are very sensitive to the accident. Selecting the reasonable transport route is of great significance for the prevention of accidents. Aiming at hazardous materials highway transportation network, this paper proposed the definition of integrated transport costs and integrated danger coefficient firstly, then the N-shortest path algorithm was used to determine the alternative transportation route parameter of hazardous materials, thirdly, the algorithm steps of finding the best transportation route were constructed through using entropy model, finally an example demonstrated the feasibility of the decision-making method. This decision-making method can help the government relevant authority and the transport enterprises choose the reasonable transportation route.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Joy, D., et al.: Predicting Transportation Routes for Radioactive Wastes. In: Proc. Symp. Waste Mamt., pp. 416–425 (1981)
Brogan, J., Cashwell, J.: Routing Models for the Transportation of Hazardous Material-State Level Enhancement and Modifications. Trans. Res. Rec. 1020, 19–22 (1985)
Clickman, T.S.: Rerouting Railroad Shipments of Hazardous to Avoid Populated Areas. Accident Anal. Prevent 15, 329–335 (1983)
Ivancie, F.: Hazardous Material Routing Study. Final Report prepared by Portland Office of Energy Management, Portland, Ore. (1984)
Pijawka, D., Foote, S., Soedilo, A.: Risk Assessment of Transporting Hazardous Material: Route Analysis and Hazard Management. Trans. Res. Rec. 1020, 1–6 (1985)
Kessler, D.: Establishing Hazardous Materials Truck Routes for Shipments Through the Dallas- Fort Worth Area. In: Recent Advances in Hazardous Materials Transportation Research. Transportation Research Board, pp.79-87 (1986)
Batta, R., Chiu, S.: Optimal Obnoxious Path on a Network: Transportation of Hazardous Materials. Operations Research 36, 84–92 (1988)
Shorys, D.: A Model for the Selection of Shipping Routes and Storage Location for a Hazardous Substance (dissertation). Johns Hopkins University, Baltimore (1981)
Saccamonno, F.F., Chan, A.: Economic evaluation of routing strategies for hazardous road shipments. Trans. Res. Rec. 1020, 12–18 (1985)
Current, J.R., et al.: The Minimum-Covering Shortest-Path Problem. Decision Sci. 19, 490–503 (1988)
Abkowtiz, M., Cheng, P.: Developinga Risk-Cost Frame work for Routing Truck Movement of Hazardous Materials. Accident Anal.Prevent 20, 39–51 (1988)
Zografos, K.G., Davis, C.F.: Multiobject programming approach for routing hazardous material. Journal of Transportation Engineering 115, 661–673 (1989)
Ma, C.: Hazardous Material Highway Transportation Route Multi-attribute Decision- making Based on Neural Network Theory under Undeveloped Transport Network Environment. Modern Traffic Technology 6, 84–86 (2009)
Ma, C.: Hazardous Material Highway Transportation Route Decision-making under Developed Transport Network Environment. Journal of Transportation Engineering and Information 9, 134–139 (2009)
Ma, C.: Highway Transportation Route Decision-making Model of Hazardous Material under certain Linguistic Environment. Journal of Lanzhou Jiaotong University 28, 115–118 (2009)
Ma, C., Li, Y., He, R.: Highway Transportation Route Decision-making Model of Hazardous Material under Uncertain Linguistic Environment. Journal of Wuhan University of Technology(Transportation Science and Engineering) 34, 916–919 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Changxi, M., Yixin, G., Bo, Q. (2011). Study on the Transportation Route Decision-Making of Hazardous Material Based on N-Shortest Path Algorithm and Entropy Model. In: Zhu, M. (eds) Information and Management Engineering. ICCIC 2011. Communications in Computer and Information Science, vol 236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24097-3_43
Download citation
DOI: https://doi.org/10.1007/978-3-642-24097-3_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24096-6
Online ISBN: 978-3-642-24097-3
eBook Packages: Computer ScienceComputer Science (R0)