Abstract. The objective is to minimize expected travel time from any origin to a specific destination in a congestible network with correlated link costs. Each link is assumed to be in one of two possible conditions. Conditional probability density functions for link travel times are assumed known for each condition. Conditions over the traversed links are taken into account for determining the optimal routing strategy for the remaining trip. This problem is treated as a multi-stage adaptive feedback control process. Each stage is described by the physical state (the location of the current decision point) and the information state (the service level of the previously traversed links). Proof of existence and uniqueness of the solution to th...
Despite measures to reduce congestion, occurrences of both recurrent and non-recurrent congestion ca...
Despite measures to reduce congestion, occurrences of both recurrent and non-recurrent congestion ca...
This paper presents a new solution to the Dynamic All-Pairs Shortest Path Routing Problem, using a l...
AbstractThe objective is to minimize expected travel time from any origin to a specific destination ...
AbstractThe objective is to minimize expected travel time from any origin to a specific destination ...
This paper develops a simple, robust framework for the problem of finding the route with the least e...
This paper develops a simple, robust framework for the problem of finding the route with the least e...
This paper develops a simple robust framework for the problem of finding the least expected travel t...
This paper develops a simple, robust framework for the problem of finding the route with the least e...
This thesis develops methodologies for solving constrained shortest path problems in dynamic and ran...
Abstract—We consider adaptive shortest-path routing in wireless networks. In this problem, we aim to...
Congestion is a world-wide problem in transportation. One major reason is random interruptions. The ...
The dynamic and stochastic shortest path problem (DSSPP) is defined as finding the expected shortest...
AbstractThis paper addresses the problem of finding reliable a priori shortest path to maximize the ...
A novel path planning approach is presented to solve optimal path in stochastic, time-varying networ...
Despite measures to reduce congestion, occurrences of both recurrent and non-recurrent congestion ca...
Despite measures to reduce congestion, occurrences of both recurrent and non-recurrent congestion ca...
This paper presents a new solution to the Dynamic All-Pairs Shortest Path Routing Problem, using a l...
AbstractThe objective is to minimize expected travel time from any origin to a specific destination ...
AbstractThe objective is to minimize expected travel time from any origin to a specific destination ...
This paper develops a simple, robust framework for the problem of finding the route with the least e...
This paper develops a simple, robust framework for the problem of finding the route with the least e...
This paper develops a simple robust framework for the problem of finding the least expected travel t...
This paper develops a simple, robust framework for the problem of finding the route with the least e...
This thesis develops methodologies for solving constrained shortest path problems in dynamic and ran...
Abstract—We consider adaptive shortest-path routing in wireless networks. In this problem, we aim to...
Congestion is a world-wide problem in transportation. One major reason is random interruptions. The ...
The dynamic and stochastic shortest path problem (DSSPP) is defined as finding the expected shortest...
AbstractThis paper addresses the problem of finding reliable a priori shortest path to maximize the ...
A novel path planning approach is presented to solve optimal path in stochastic, time-varying networ...
Despite measures to reduce congestion, occurrences of both recurrent and non-recurrent congestion ca...
Despite measures to reduce congestion, occurrences of both recurrent and non-recurrent congestion ca...
This paper presents a new solution to the Dynamic All-Pairs Shortest Path Routing Problem, using a l...