دانلود مقاله ISI انگلیسی شماره 78698
ترجمه فارسی عنوان مقاله

ارسال پیام مبتنی بر تاریخ خط سیر خودرو در سیستم های اطلاعات ترافیک توزیع شده به طور کامل

عنوان انگلیسی
Message forwarding based on vehicle trajectory history in Fully Distributed Traffic Information Systems
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
78698 2015 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computer Communications, Volume 60, 1 April 2015, Pages 40–52

ترجمه کلمات کلیدی
سیستم اطلاعات ترافیک توزیع شده ؛ Geocasting؛ ارتباطات بین خودرو؛ شبیه ساز ترافیک؛ شبیه ساز شبکه های ad-hoc تلفن همراه
کلمات کلیدی انگلیسی
Distributed traffic information system; Geocasting; Inter-vehicle communications; Traffic simulator; Mobile ad-hoc network simulator
پیش نمایش مقاله
پیش نمایش مقاله  ارسال پیام مبتنی بر تاریخ خط سیر خودرو در سیستم های اطلاعات ترافیک توزیع شده به طور کامل

چکیده انگلیسی

Such systems are of great practical interest and may provide excellent results in urban conditions due to the presence of numerous potential partners for most vehicles. Unfortunately, many applications already use the wireless transmission medium in cities, leading to frequent problems with saturation. In order to avoid such issues, fdtis must generate as few transmissions as possible, while remaining effective. In the specific context of congestion avoidance, we present a method that improves the efficiency of traffic alert messages by directing them to the geographic regions where they are most useful. This method uses past trajectory data from the vehicles involved in a traffic jam, thus decreasing the number of messages. We compared the performance of our method in simulation to a reference implementation and showed that, in the case of intensive traffic, this method prevents saturation of the wireless medium which would have resulted in a general degradation in performance. From a macroscopic point of view, we also showed that the improvement in medium usage obtained had no impact on the ability of our system to ease traffic jams.