Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Estimation of driver reaction time from detailed vehicle trajectory data
MOAS'07 Proceedings of the 18th conference on Proceedings of the 18th IASTED International Conference: modelling and simulation
Simulation Driven Experiment Control in Driver Assistance Assessment
DS-RT '08 Proceedings of the 2008 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications
Action recognition and prediction for driver assistance systems using dynamic belief networks
NODe'02 Proceedings of the NODe 2002 agent-related conference on Agent technologies, infrastructures, tools, and applications for E-services
Evaluation of ACC vehicles in mixed traffic: lane change effects and sensitivity analysis
IEEE Transactions on Intelligent Transportation Systems
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With the emergence of pervasive computing technologiesinto vehicles, driving has moved from an active task of steering towards an interaction or adaptation task withrespect to the driver-vehicle feedback loop. Up to now vehicular interfaces have mostly been evaluated from a single-driver single-car viewpoint, however, driving is a more complex task involving – beside the local interaction – the interrelationship between all the cars in a certain community of interest.The question investigated in this research work is how avehicle’s local parameters in a bulk of cars (e. g. vehicle speed, braking parameters) affect the global behavior of this system (traffic congestion, driving speed variation, throughput). To explore this, two traffic models have been developed and simulated using the NetLogo simulation environment.Simulation results have shown that the intercar distance hasa direct impact on both the throughput and the mean triptime. The proactive driving approach using vibro-tactile driver notification followed in the second, advanced model achieved much better results regarding these parameters compared to the simple manual-driven case. Finally, the outcomes legitimate the implementation of a prototype, and the installation of such a technology into a large number of cars in order to provide evidence for the improved traffic flow and decreased probability of traffic accidents in real driving scenarios.