Simulation assessment of new generation navigation strategies

Probe vehicle (or connected car) data are becoming an important source of real-time travel information for a variety of intelligent transportation system applications. Since traditional sensors have significant installation and maintenance costs, technological companies are interested in traffic data from these alternative detection techniques for computing traffic-aware shortest routes. This paper analyzes and evaluates the use of data provided by probe vehicles in two reactive navigation strategies and how this affects a set of city and driver key performance indicators. The case study adopts a microscopic simulation approach to emulate real-size fleets of probe cars providing positions and speed data. The paper presents and discusses the modeling approach and the obtained results after conducting an experimental design for a Barcelona district scenario. Moreover, a simulation-based framework is introduced for simplifying the analysis of simulation results and easily visualizing origin-destination paths for the proposed driver segments (experts, regular and tourists).This research was funded by TRA2016-76914-C3-1-P of the Spanish R+D National Programs and by the Secretaria d’Universitats i Recerca de la Generalitat de Catalunya under 2017 SGR 1749.Peer Reviewe