Optimization of traffic dynamic route guidance with drivers reactions in a queue-based model

This paper presents an optimal guidance algorithm which takes into account the driver’s compliance to route advice. The optimal control consists of minimizing the travel time of guided vehicles using a queue-based model. The optimization is based on the use of Forward Dynamic Programming and decomposition-coordination methods. Driver’s compliance is modelled by a linear function of the guidance advice (control). An assessment of the criteria degradation induced by imperfect compliance is perfromed. Results show that this degradation of the criteria is low in fluid traffic conditions but high in congested situations. Thus human factors cannot be neglected in route guidance systems.