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A Scaled-Down Traffic System based on Autonomous Vehicles: A New Experimental System for ITS Research
Wen He; Guisheng Chen; Shuming Tang; Deyi Li; Mu Guo; Tianlei Zhang; Peng Jia; Feng Jin
Conference Name15th International IEEE Conference on Intelligent Transportation Systems
Conference DateSeptember 16-19, 2012
Conference PlaceAnchorage, Alaska, USA
AbstractIn this paper, we present our recent efforts on developing a physical environment for performing traffic experiments. The two main characteristics of this environment are: (1) the whole environment is scaled down from the real traffic, (2) the traffic behaviors are performed by numbers of miniature autonomous vehicles. Performing traffic experiments in an actual environment has long been a hard problem. Moreover, modeling traffic phenomena is also a tough task, due to the complexity of the natural traffic system. However, with the rapid development of autonomous vehicle technology, we have an opportunity to improve these problems from a new perspective. That is using autonomous vehicles to perform traffic experiments. But with the limitations in cost and land availability, directly using full size autonomous vehicles also seemed unrealistic. Thus, we built a 1/10 scaled-down traffic system (SDTS) with more than 50 miniature autonomous vehicles. The environmental design, autonomous vehicles developing, agent modeling, traffic control, and real-time monitoring is considered systematically during system design. The SDTS can be used as a repeatable, appraisable, and verifiable experimental platform for traffic researches, such as testing traffic solutions, verifying key technologies in intelligent vehicles, and performing experiments about ITS. By now, the SDTS has supported a series of workshops, exchange activities and competitions in China.
KeywordVehicles Mobile Robots Roads Real-time Systems Intelligent Vehicles Computational Modeling
Document Type会议论文
Corresponding AuthorWen He
Recommended Citation
GB/T 7714
Wen He,Guisheng Chen,Shuming Tang,et al. A Scaled-Down Traffic System based on Autonomous Vehicles: A New Experimental System for ITS Research[C],2012.
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