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    Efficient and unique identifier for V2X events aggregation in the local dynamic map

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    Efficient_and_unique_identifier_for_V2X_events_aggregation_in_the_Local_Dynamic_Map.pdf (590.8Kb)
    Date
    2011
    Author
    Menouar, Hamid
    Filali, Fethi
    Abu-Dayya, Adnan A.
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    Abstract
    Car to car communication has been getting a considerable interest from both industry and academia since the last decades, and especially the last years where the market introduction phase is approaching fast. Several useful applications will be enabled by car to car communication, such as safety applications that save drivers and passengers' lives, traffic efficiency applications that improve the traffic on the road and finally infotainment applications that provide more comfort in the car and on the road. All these applications rely on efficient and reliable cooperation between vehicles, which could be enabled only by efficient and reliable ITS systems. These systems will need to handle a huge amount of information which is received from vehicles and road equipments. Therefore, a good system to classify and store locally all this wonderful information for further utilization, needs to be considered seriously. ETSI TC ITS architecture adopts a nice solution for this issue and use Local Dynamic Map (LDM), which stores information in different layers on top of a digital map. The LDM solution has already been tested in several occasions and it has proven its efficiency. Even that, LDM still has some open issues that need more efforts to be solved and/or enhanced. One of these issues has not been considered yet by ongoing activities in the area is the unnecessary duplication of information in the LDM database. In this work, we come-out with an efficient solution to solve this issue, which enables a unique identifier per each event and therefore eliminates events (information) duplication in the LDM database. As active member in ETSI TC ITS, we will also bring this solution to ETSI to be integrated in the still ongoing ITS standards.
    DOI/handle
    http://dx.doi.org/10.1109/ITST.2011.6060084
    http://hdl.handle.net/10576/68599
    Collections
    • QMIC Research [‎340‎ items ]

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