Pii: S0968-090x(00)00007-3

نویسندگان

  • William C. Frank
  • Jean-Claude Thill
  • Rajan Batta
چکیده

Shipping hazardous material (hazmat) places the public at risk. People who live or work near roads commonly traveled by hazmat trucks endure the greatest risk. Careful selection of roads used for a hazmat shipment can reduce the population at risk. On the other hand, a least time route will often consist of urban interstate, thus placing many people in harms way. Route selection is therefore the process of resolving the con ̄ict between population at risk and eciency considerations. To assist in resolving this con ̄ict, a working spatial decision support system (SDSS) called Hazmat Path is developed. The proposed hazmat routing SDSS overcomes three signi®cant challenges, namely handling a realistic network, o€ering sophisticated route generating heuristics and functioning on a desktop personal computer. The paper discusses creative approaches to data manipulation, data and solution visualization, user interfaces, and optimization heuristics implemented in Hazmat Path to meet these challenges. Ó 2000 Elsevier Science Ltd. All rights reserved.

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تاریخ انتشار 2000