Route Guidance Strategy for Heterogeneous Traffic Flow in an Asymmetric Two-Route Scenario

Reinforcement learning for route choice in an abstract traffic scenario

Traffic movement in a commuting scenario is a phenomena that results from individual and uncoordinated route choice by drivers. Every driver wishes to achieve reasonable travel times from his origin to his destination and, from a global point of view, it is desirable that the load gets distributed proportionally to the roads capacity on the network. This work presents a reinforcement learning a...

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 ...

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...

Soundmarks in Spoken Route Guidance

Route guidance is an emerging mobile computing application domain. Soundscapes or acoustic environments are a perceptually important part of people's location awareness and navigation. In this paper, we present how non-speech audio can be used to complement speech-based and graphical route information in mobile public transport guidance. We present TravelMan, a mobile multimodal pedestrian and ...