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Microscopic real-time traffic simulations to support advanced driver assistance systems
Over the past years improvements in the field of vehicle-2-infrastructure communication offer a lot of possibilities for interactive vehicle applications. The challenge of existing driver assistance algorithms is the fact that a lot of decisions are necessary to select the best driving strategy. The incoming information are mostly based on local sensor values. The disadvantage of this approach is that internal detectors can only gather information about the area really close to the vehicle. Within a new approach the traffic management center offers the possibility to evaluate specific driving regimes of single cars via a microscopic real-time traffic simulation. Furthermore, using online real-time data within the simulation might increase significantly a vehicle's detection radius which helps finding an optimal driving strategy in current situations.
Microscopic real-time traffic simulations to support advanced driver assistance systems
Over the past years improvements in the field of vehicle-2-infrastructure communication offer a lot of possibilities for interactive vehicle applications. The challenge of existing driver assistance algorithms is the fact that a lot of decisions are necessary to select the best driving strategy. The incoming information are mostly based on local sensor values. The disadvantage of this approach is that internal detectors can only gather information about the area really close to the vehicle. Within a new approach the traffic management center offers the possibility to evaluate specific driving regimes of single cars via a microscopic real-time traffic simulation. Furthermore, using online real-time data within the simulation might increase significantly a vehicle's detection radius which helps finding an optimal driving strategy in current situations.
Microscopic real-time traffic simulations to support advanced driver assistance systems
Krumnow, Mario (author) / Liebscher, Anja (author) / Krimmling, Jurgen (author) / Schubert, Torsten (author) / Baker, Bernard (author)
2015-06-01
733418 byte
Conference paper
Electronic Resource
English
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