Pii: S0191-2615(98)00016-2

نویسندگان

  • LIPING FU
  • L. R. RILETT
چکیده

ÐThe dynamic and stochastic shortest path problem (DSSPP) is de®ned as ®nding the expected shortest path in a trac network where the link travel times are modeled as a continuous-time stochastic process. The objective of this paper is to examine the properties of the problem and to identify a technique that can be used to solve the DSSPP given information that will be available in networks with Intelligent Transportation System (ITS) capabilities. The paper ®rst identi®es a set of relationships between the mean and variance of the travel time of a given path and the mean and variance of the dynamic and stochastic link travel times on these networks. Based on these relationships it is shown that the DSSPP is computationally intractable and traditional shortest path algorithms cannot guarantee an optimal solution. A heuristic algorithm based on the k-shortest path algorithm is subsequently proposed to solve the problem. Lastly, the trade-o€ between solution quality and computational eciency of the proposed algorithm is demonstrated on a realistic network from Edmonton, Alberta. # 1998 Elsevier Science Ltd. All rights reserved

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تاریخ انتشار 1998