01660311

Component

Due to catastrophic consequences of accidents by hazardous materials (hazmat) transportation, a risk-averse approach for routing is needed.Due to catastrophic consequences of accidents by hazardous materials (hazmat) transportation, a risk-averse approach for routing is needed.In this paper, the authors consider spectral risk measures, which are coherent and more general than existing approaches such as conditional value-at-risk.In spectral risk measures, one may define the spectrum function to reflect the decision maker's risk preference precisely. The authors first consider a special class of spectral risk measures, for which the spectrum function may be represented as a weighted sum of step functions.The authors develop a mixed integer programming model in hazmat routing to minimize these special spectral risk measures and propose an efficient search algorithm to solve the problem.The authors also consider general classes of spectral risk measures, for which they propose two computational approaches. The authors illustrate the usage of spectral risk measures and the proposed computational approaches via a case study in the real road network of Ravenna, Italy.

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

18-04850

English

18p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Hazardous materials; Risk assessment; Routes and routing; Spectrum analysis

Highways; Operations and Traffic Management; Transportation (General)

Transportation Research Board Annual Meeting 2018 Paper #18-04850

TRIS, TRB, ATRI

Jan 8 2018 11:12AM