منابع مشابه
Using Agent-Based Simulation to Determine an Optimal Lane-Changing Strategy on a Multi-Lane Highway
Lane changing can increase or impede the flow of vehicular traffic, depending on traffic density and the lane-changing strategies used by individual drivers. We implement and extend the Nagel-Schreckenberg (N-S) traffic model as an agent-based model to investigate lane-changing behavior on a multi-lane roadway, with the goal of determining which lane changing strategies result in the greatest o...
متن کاملAssisted Highway Lane Changing with RASCL
Lane changing on highways is stressful. In this paper, we present RASCL, the Robotic Assistance System for Changing Lanes. RASCL combines state-of-the-art sensing and localization techniques with an accurate map describing road structure to detect and track other cars, determine whether or not a lane change to either side is safe, and communicate these safety statuses to the user using a variet...
متن کاملTowards a more accurate agent-based multi-lane highway simulation
The next several years will see an acceleration of the adoption of intelligent driving aid devices. Studying the impact of such devices on the overall traffic performance and safety requires highly realistic microscopic traffic simulation models, which account not only for the overall traffic flow, but also for the details and variability of the individual driver’s behavior. In this paper, we f...
متن کاملDynamic Traffic Assignment for Automated Highway Systems: A Two-lane Highway with Speed Constancy
Dynamic traffic assignment through analytical modeling and optimization has been widely accepted by the IVHS R&D community as a promising traffic control tool for understanding and relieving traffic congestion on conventional highways and city streets. Due to the completely controlled nature of AHS traffic, dynamic assignment of AHS traffic is even more promising. One added dimension of complex...
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ژورنال
عنوان ژورنال: Nature Reviews Molecular Cell Biology
سال: 2016
ISSN: 1471-0072,1471-0080
DOI: 10.1038/nrm.2016.73