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    Robust Traffic Merging Strategies for Sensor-Enabled Cars Using Time Geography

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    9
    Author
    Wang, Z; Kulik, L; Ramamohanarao, K
    Date
    2009
    Source Title
    Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
    Publisher
    ACM
    University of Melbourne Author/s
    Kulik, Lars; Kotagiri, Ramamohanarao; WANG, ZIYUAN
    Affiliation
    Computer Science and Software Engineering
    Metadata
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    Document Type
    Conference Paper
    Citations
    Wang, Z., Kulik, L. & Ramamohanarao, K. (2009). Robust Traffic Merging Strategies for Sensor-Enabled Cars Using Time Geography. Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp.362-371. ACM. https://doi.org/10.1145/1653771.1653821.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/29954
    DOI
    10.1145/1653771.1653821
    Abstract
    We present two novel merging algorithms that optimize traffic flow on highways, particularly at intersections of ramps and main roads. In our work, cars are equipped with sensors that can detect distance to neighboring cars, and communicate their velocity and acceleration readings with one another. Sensor-enabled cars can locally exchange sensed information about traffic and adapt their behavior much earlier than regular cars. However, the accuracy level of sensors is a major challenge for merging algorithms, because inaccuracies can potentially lead to unsafe merging behaviors. In this paper, we investigate how the accuracy of sensors impacts merging algorithms, and design robust merging algorithms that tolerate sensor errors. Experimental results show that our main proposed merging algorithm, which is based on concepts from time geography, is able to guarantee safe merging while tolerating four times more imprecise positioning information, and can double the road capacity and increase the traffic flow by 25%.
    Keywords
    Information Systems

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