Category: <span>Cited by 1st review</span>

Minimum time and minimum cost-path problems in street networks with periodic traffic lights

This paper investigates minimum time and minimum cost path problems in street networks regulated by periodic traffic lights. We show that the minimum time path problem is polynomially solvable. On the other hand, minimum cost path problems are generally NP-hard. …

A heuristic search approach for a nonstationary stochastic shortest path problem with terminal cost

We present a best-first heuristic search approach for determining an optimal policy for a stochastic shortest path problem. A vehicle is to travel from an origin, starting at time t0, to a destination, where once the destination is reached a …

Incorporating uncertainty and multiple objectives in real-time route selection

There is a requirement in real-time, routing information systems to identify the “optimal” route based on the multiple objectives and the individual decision-making rules of the users. While a number of utility theory-based techniques have been developed to accomplish this …

A restricted dynamic programming heuristic algorithm for the time dependent traveling salesman problem

Dynamic programming (DP) algorithms for the traveling salesman problem (TSP) can easily incorporate time dependent travel times, time windows, and precedence relationships which present difficulties for algorithms based on linear or nonlinear programming formulations and for many TSP heuristics. However, …

A classification of formulations for the (time-dependent) traveling salesman problem

The time-dependent traveling salesman problem (TDTSP) is a generalization of the classical traveling salesman problem where the cost of any given arc is dependent of its position in the tour. The TDTSP can model several real world applications (e.g., one-machine …

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