Open Access Open Access  Restricted Access Subscription Access

Vehicular Clog Aversion Framework

Rosemary Antony

Abstract


Incorporated answers for vehicular traffic re-steering to mitigate blockage experience the ill effects of two characteristic issues: versatility, as the focal server needs to perform serious calculation and correspondence with the vehicles continuously; furthermore, security, in light of the fact that the drivers need to share their area moreover on the grounds that the starting points and objections of their outings with the server. Proactive Driver Direction (PDG) blockage evasion framework offloads a curiously large a piece of the rerouting calculation at the vehicles, and consequently, the re-steering process becomes commonsense in timeframe. The proactive driver guidance and vehicular congestion avoidance system is a hybrid system because it still uses a server and Internet communication to obtain an accurate global view of traffic in order to make cooperative rerouting decisions. What's more, Proactive Driver Direction &Vehicular Blockage Aversion Framework offsets the client protection with the re-steering adequacy. The simulation results show that the planned hybrid system will increase user privacy by 92% on average over a centralized system. As far as normal travel time, proactive driver direction (PDG) and vehicular clog aversion framework's presentation is somewhat not exactly that of the concentrated framework, yet it actually accomplishes significant increases contrasted with the no re-steering case. Proactive Driver Guidance (PDG) is another.& Vehicular Congestion Avoidance system reduces the CPU and network load on the server by 99.99% and 95%, respectively.


Full Text:

PDF

References


Mohamed A. Abd El-Gawad , Mahmoud Elsharief and HyungWon Kim A cooperative V2X MAC protocol for vehicular networks Abd El-Gawad et al. EURASIP Journal on Wireless Communications and Networking (2019)

E. Angelelli a , I. Arsik b , V. Morandi a, M. Savelsbergh b , M.G. Speranza a Proactive route guidance to avoid congestion Transportation Research Part B 94 (2016)

Zilu Liang and Yasushi Wakahara Real-time urban traffic amount prediction models for dynamic route guidance systems EURASIP Journal on Wireless Communications and Networking 2014

Osamu Masutani A sensing coverage analysis of a route control method for vehicular crowd sensing

Juan (Susan) Pan, Iulian Sandu Popa, Karine Zeitouni, and Cristian Borcea Proactive Vehicular Traffic Re-routing for Lower Travel Time 2013 IEEE

Mohammad Reza Jabbarpour a,n, AliJalooli a, Erfan Shaghaghi a, Rafidah MdNoor a, Leon Rothkrantz b, Rashid Hafeez Khokhar c, Nor Badru lAnuar a Ant-based vehicle congestion avoidance system using vehicular networks Engineering Applications of Artificial Intelligence36 (2014)

Juan (Susan) Pan, Mohammad A. Khan, Iulian Sandu Popay, Karine Zeitouniy and Cristian Borcea Proactive vehicle re-routing strategies for congestion avoidance


Refbacks

  • There are currently no refbacks.