DESIGN AND IMPLEMENTATION OF PARALLEL TIME-DEPENDENT LEAST TIME PATH ALGORITHMS FOR INTELLIGENT TRANSPORTATION SYSTEMS APPLICATIONS TRANSPORTATION SYSTEMS APPLICATIONS Export

@article{ziliaskopoulos_1996, abstract = {The development of Intelligent Transportation Systems (ITS) and the resulting need for real-time traffic management and route guidance models require fast shortest path algorithms that can account for the dynamics of traffic networks. The objective of this paper is to introduce parallel designs for time-dependent shortest path algorithms that can be used in real-time ITS applications. In this paper, two shared memory and one message passing algorithms are designed, implemented, coded and computationally tested on actual and random networks. The reported tests are performed on CRAY supercomputers,but the algorithms can be readily ported to lower end multiprocessor machines.}, annote = {The development of transportation systems demands fast shortest path algorithms and models which account for the dynamics of traffic networks. The goal is to achieve a system that is dynamic enough to incorporate real time traffic data when making shortest path decisions quickly. This paper presents algorithms for parrellel computation of the shortest path, each of which act upon a directed graph, and update a vector of distance labels for each node, one for each departure time. Starting with a sequential time-dependent least-time path, a label correcting algorithm, which leads to three parrellel computing algorithms, each algorithm has been implemented and computational results are given along with complexity estimates. Testing was performed on networks of small degree (approximately 3) and may not provide accurate estimates as to how the algorithms would perform on more complex networks.}, author = {Ziliaskopoulos, Athanasios and Kotzinos, Dimitrios and Mahmassani, Hani S.}, citeulike-article-id = {2292734}, journal = {Transportation Research Part C: Emerging Technologies}, keywords = {bibdesk, flows, network, time, transportation}, local-url = {file://localhost/Users/ampintye/school/research/network\_flows/ziliaskopoulos\_1996.pdf}, posted-at = {2008-01-26 16:24:56}, priority = {0}, title = {DESIGN AND IMPLEMENTATION OF PARALLEL TIME-DEPENDENT LEAST TIME PATH ALGORITHMS FOR INTELLIGENT TRANSPORTATION SYSTEMS APPLICATIONS TRANSPORTATION SYSTEMS APPLICATIONS}, volume = {Special Issue : Parallel Computing In Transport Research}, year = {1996} }

TY - JOUR ID - ziliaskopoulos_1996 L3 - citeulike-article-id:2292734 N2 - The development of Intelligent Transportation Systems (ITS) and the resulting need for real-time traffic management and route guidance models require fast shortest path algorithms that can account for the dynamics of traffic networks. The objective of this paper is to introduce parallel designs for time-dependent shortest path algorithms that can be used in real-time ITS applications. In this paper, two shared memory and one message passing algorithms are designed, implemented, coded and computationally tested on actual and random networks. The reported tests are performed on CRAY supercomputers,but the algorithms can be readily ported to lower end multiprocessor machines. JF - Transportation Research Part C: Emerging Technologies TI - DESIGN AND IMPLEMENTATION OF PARALLEL TIME-DEPENDENT LEAST TIME PATH ALGORITHMS FOR INTELLIGENT TRANSPORTATION SYSTEMS APPLICATIONS TRANSPORTATION SYSTEMS APPLICATIONS VL - Special Issue : Parallel Computing In Transport Research KW - bibdesk KW - flows KW - network KW - time KW - transportation AU - Ziliaskopoulos, Athanasios AU - Kotzinos, Dimitrios AU - Mahmassani, Hani PY - 1996/// ER -