2008
Plessas, Athanasios; Garofalakis, John
A Route Guidance System Against Traffic Congestion Following a Constrained System Optimal Model Proceedings Article
In: 15th World Congress on Intelligent Transport Systems and ITS America's 2008 Annual Meeting, pp. 1–10, 2008.
Abstract | BibTeX | Ετικέτες: constrained system optimal algorithm, route guidance, traffic congestion, vehicle navigation
@inproceedings{Plessas2008,
title = {A Route Guidance System Against Traffic Congestion Following a Constrained System Optimal Model},
author = {Athanasios Plessas and John Garofalakis},
year = {2008},
date = {2008-11-01},
booktitle = {15th World Congress on Intelligent Transport Systems and ITS America's 2008 Annual Meeting},
pages = {1--10},
abstract = {During the last decade, in-vehicle route guidance systems have known a significant spread. These systems, apart from providing assistance to drivers, offer the chance to manage traffic in such a way that allows an increase in road network capacity and therefore a decrease in traffic congestion, without the high cost expansion of the road infrastructure. In this paper, we propose the application of the basic principles of the Constrained System Optimal model, used to solve the traffic assignment problem, in the case of routing a single vehicle. In contrast to the User Optimal model that provides no traffic improvement guarantees and the System Optimal model that is unrealistic, the Constrained System Optimal solution adopts the goal of reducing congestion and at the same time remaining fair for drivers when selecting a route.},
keywords = {constrained system optimal algorithm, route guidance, traffic congestion, vehicle navigation},
pubstate = {published},
tppubtype = {inproceedings}
}
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}
}
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.