Efficient Route Planning Using Temporal Reliance of Link Quality for Highway IoV Traffic Environment

Efficient Route Compression for Hybrid Route Planning

We describe an algorithmic framework for lossless compression of route descriptions. This is useful for hybrid route planning where routes are computed by a server and then transmitted to a client device in a car using some mobile radio communication where bandwidth may be low. Compressed routes are represented by only a few via nodes which are the connection points when the route is decomposed...

Traffic Prediction for Agent Route Planning

This paper describes a methodology and initial results of predicting traffic by autonomous agents within a vehicle route planning system. The traffic predictions are made using AQ21, a natural induction system that learns and applies attributional rules. The presented methodology is implemented and experimentally evaluated within a multiagent-based simulation system. Initial results obtained by...

Self-Aware Traffic Route Planning

One of the most ubiquitous AI applications is vehicle route planning. While state-of-the-art systems take into account current traffic conditions or historic traffic data, current planning approaches ignore the impact of their own plans on the future traffic conditions. We present a novel algorithm for self-aware route planning that uses the routes it plans for current vehicle traffic to more a...

Planning for Protected Areas Using Spatial and Temporal Metrics

Route Planning Algorithms for Urban Environment

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