Route guidance strategies revisited: Comparison and evaluation in an asymmetric two-route traffic network

Route guidance: Bridging system and user optimization in traffic assignment

In this paper we study the problem of the assignment of road paths to vehicles. Due to the assumption that a low percentage of vehicles follow the routes proposed by route guidance systems (RGS) and the increase of the use of the same, the conventional RGSs might shortly result obsolete. Assuming a complete road network information at the disposal of RGSs, their proposed paths are related with ...

Optimal route in a road traffic network

We develop a road traffic Cellular Automata model suitable to an urban environment. North, east, south and west car displacements are possible and road crossings are naturally implemented as rotary junctions. We consider the traffic in a small part of Amsterdam, a Manhattan city-like area. Besides the simulation, we apply a Reinforcement Learning technique to derive optimal routes. The Reinforc...

Intelligent Route Guidance

Dynamic Vehicular Route Guidance Using Traffic Prediction Information

We propose a dynamic vehicular routing algorithm with traffic prediction for improved routing performance. The primary idea of our algorithm is to use real-time as well as predictive traffic information provided by a central routing controller. In order to evaluate the performance, we develop a microtraffic simulator that provides road networks created from real maps, routing algorithms, and ve...

a synchronic and diachronic approach to the change route of address terms in the two recent centuries of persian language

terms of address as an important linguistics items provide valuable information about the interlocutors, their relationship and their circumstances. this study was done to investigate the change route of persian address terms in the two recent centuries including three historical periods of qajar, pahlavi and after the islamic revolution. data were extracted from a corpus consisting 24 novels w...