Common driving notification protocol based on classified driving behavior for cooperation intelligent autonomous vehicle using vehicular ad-hoc network technology

• Autorzy: Lin, C.-H. C.-H. , Dong F. -Y. , Hirota K.

Identyfikatory

DOI

10.1515/jaiscr-2015-0016

• Języki publikacji: EN

Abstrakty

EN

A protocol, called common driving notification protocol (CDNP), is proposed based on the classified driving behavior for intelligent autonomous vehicles, and it defines a standard with common messages and format for vehicles. The common standard format and definitions of CDNP packet make the autonomous vehicles have a common language to exchange more detail driving decision information of various driving situations, decrease the identification time for one vehicle to identify the driving decisions of other vehicles before or after those driving decisions are performed. The simulation tools, including NS- 3 and SUMO, are used to simulate the wireless data packet transmission and the vehicle mobility; the experiment results present that the proposed protocol, CDNP, can increase the reaction preparing time with maximum value 250 seconds, decrease the identification time and the average travel time. Prospectively, it is decided to implement the CDNP as a protocol stack in the Linux kernel to provide the basic protocol capability for real world transmission testing.

Słowa kluczowe

EN

common driving notification protocol; CDNP; intelligent autonomous vehicle; identification; simulation tools; NS-3; SUMO; data packet transmission; vehicle mobility

PL

CDNP; inteligentny pojazd autonomiczny; identyfikacja; narzędzia symulacyjne; NS-3; SUMO; transmisja danych pakietowych; mobilność pojazdu

• Wydawca: University of Social Sciences
• Czasopismo: Journal of Artificial Intelligence and Soft Computing Research
• Rocznik: 2015
• Tom: Vol. 5, No. 1
• Strony: 5--21
• Opis fizyczny: Bibliogr. 34 poz., rys.

Twórcy

autor

Lin, C.-H. C.-H.

• Department of Computational Intelligence and Systems Science Tokyo Institute of Technology G3-49, 4259 Nagatsuta, Midori-ku Yokohama 226-8502, Japan

autor

Dong F. -Y.

• Department of Computational Intelligence and Systems Science Tokyo Institute of Technology G3-49, 4259 Nagatsuta, Midori-ku Yokohama 226-8502, Japan

autor

Hirota K.

• Department of Computational Intelligence and Systems Science Tokyo Institute of Technology G3-49, 4259 Nagatsuta, Midori-ku Yokohama 226-8502, Japan

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