2007
Garofalakis, John; Nakou, Polyxeni; Plessas, Athanasios
Vehicle Routing and Road Traffic Simulation: A Smart Navigation System Proceedings Article
In: Proceedings of the 11th Panhellenic Conference on Informatics, pp. 611–623, New Technologies Publications, 2007, ISBN: 978-960-89784-2-3 .
Abstract | Links | BibTeX | Ετικέτες: In-Vehicle Routing Algorithms, Intelligent Transportation Systems, Road Traffic Simulation, traffic congestion, Traffic Management Systems
@inproceedings{Garofalakis2007b,
title = {Vehicle Routing and Road Traffic Simulation: A Smart Navigation System},
author = {John Garofalakis and Polyxeni Nakou and Athanasios Plessas},
url = {http://pci2007.upatras.gr/proceedings/PCI2007_volB/B_611-623_Garofalakis.pdf},
isbn = {978-960-89784-2-3 },
year = {2007},
date = {2007-05-01},
booktitle = {Proceedings of the 11th Panhellenic Conference on Informatics},
volume = {B},
pages = {611--623},
publisher = {New Technologies Publications},
abstract = {In-vehicle navigation permits people to find their way while driving. Combining these
applications with road traffic data may result in diminishing traveling time. In this paper we deal with the problem of vehicle routing on today’s congested roads. The result of this study is a web application that provides the user with two possibilities. The user can create a directed graph that corresponds to the city’s road network and he can also find the optimal path that leads to its destination as far as distance and traffic congestion are concerned. As we didn’t have real data about the traffic, we adopt a simulation technique to mimic actual traffic conditions.},
keywords = {In-Vehicle Routing Algorithms, Intelligent Transportation Systems, Road Traffic Simulation, traffic congestion, Traffic Management Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
In-vehicle navigation permits people to find their way while driving. Combining these
applications with road traffic data may result in diminishing traveling time. In this paper we deal with the problem of vehicle routing on today’s congested roads. The result of this study is a web application that provides the user with two possibilities. The user can create a directed graph that corresponds to the city’s road network and he can also find the optimal path that leads to its destination as far as distance and traffic congestion are concerned. As we didn’t have real data about the traffic, we adopt a simulation technique to mimic actual traffic conditions.
applications with road traffic data may result in diminishing traveling time. In this paper we deal with the problem of vehicle routing on today’s congested roads. The result of this study is a web application that provides the user with two possibilities. The user can create a directed graph that corresponds to the city’s road network and he can also find the optimal path that leads to its destination as far as distance and traffic congestion are concerned. As we didn’t have real data about the traffic, we adopt a simulation technique to mimic actual traffic conditions.