2014 · 20 citations · 19 references
EngineeringAutomotive EngineeringAutonomous SystemsAutomationAutonomous VehiclesTransportation EngineeringIntelligent Transportation SystemsTraffic EngineeringTraffic Flow AnalysisTraffic Flow TheoryTraffic Impact AssessmentTraffic SafetyMicroscopic Traffic ModelingSimulation Of Transportation SystemsTraffic Flow ModelingTraffic Flow RateTraffic Impact AnalysisTraffic Safety BehaviorTraffic SimulationTraffic Simulation Modeling
Highly automated driving on highways requires a complex artificial intelligence that makes optimal decisions based on ongoing measurements. Notably no attempt has been performed to evaluate the impacts of such a sophisticated system on traffic. Another important point is the impact of continuous increase in the number of highly automated vehicles on future traffic safety and traffic flow. This work introduces a novel framework to evaluate these impacts in a developed microscopic traffic simulation environment. This framework is used on the one hand to ensure the functionality of the driving strategy in the early development stage. On the other hand, the impacts of increasing automation rates, up to hundred percent, on traffic safety and traffic flow is evaluated.
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Stanley: The robot that won the DARPA Grand Challenge
Sebastian Thrun, Mike Montemerlo, Hendrik Dahlkamp et al. · Journal of Field Robotics · 2006 · 2.1K citations · Full text
Autonomous driving in urban environments: Boss and the Urban Challenge
Chris Urmson, Joshua Anhalt, Drew Bagnell et al. · Journal of Field Robotics · 2008 · 1.5K citations · Full text
Junior: The Stanford entry in the Urban Challenge
Michael Montemerlo, Jan Becker, Suhrid Bhat et al. · Journal of Field Robotics · 2008 · 1K citations · Full text