Abstract
Behaviors of drivers have an important influence on the throughput, safety and traffic flow of vehicular transportation systems. Especially in simulation scenarios, a smooth, realistic and fully reliable lane-change model is a precondition to achieve reasonable results. An extraordinary challenge is provided by situations with multiple congested lanes, including vehicles intending to change to the adjacent lane even if the target lane is occupied by vehicles stuck in a traffic jam. This paper addresses this special use case by introducing Cooperative Lane-Change and Longitudinal Behaviour Model Extension (CLLxt), which can be applied as an extension to models from literature. The result is a simple but well-functioning cooperative model, which covers both participants, the vehicle intending to change the lane and others which need to react to this intention by providing space. The utilization of CLLxt is demonstrated with an example in TraffSim.
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This project has been co-financed by the European Union using financial means of the European Regional Development Fund (EFRE). Further information to IWB/EFRE is available at www.efre.gv.at.
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Backfrieder, C., Ostermayer, G., Lindorfer, M., Mecklenbräuker, C.F. (2016). Cooperative Lane-Change and Longitudinal Behaviour Model Extension for TraffSim. In: Alba, E., Chicano, F., Luque, G. (eds) Smart Cities. Smart-CT 2016. Lecture Notes in Computer Science(), vol 9704. Springer, Cham. https://doi.org/10.1007/978-3-319-39595-1_6
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DOI: https://doi.org/10.1007/978-3-319-39595-1_6
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