Cooperative adaptive driving for platooning autonomous self driving based on edge computing

• Autorzy: Chang Ben-Jye , Hwang Ren-Hung , Tsai Yueh-Lin , Yu Bo-Han , Liang Ying-Hsin

Identyfikatory

DOI

10.2478/amcs-2019-0016

• Języki publikacji: EN

Abstrakty

EN

Cooperative adaptive cruise control (CACC) for human and autonomous self-driving aims to achieve active safe driving that avoids vehicle accidents or traffic jam by exchanging the road traffic information (e.g., traffic flow, traffic density, velocity variation, etc.) among neighbor vehicles. However, in CACC, the butterfly effect is encountered while exhibiting asynchronous brakes that easily lead to backward shock-waves and are difficult to remove. Several critical issues should be addressed in CACC, including (i) difficulties with adaptive steering of the inter-vehicle distances among neighbor vehicles and the vehicle speed, (ii) the butterfly effect, (iii) unstable vehicle traffic flow, etc. To address the above issues in CACC, this paper proposes the mobile edge computing-based vehicular cloud of the cooperative adaptive driving (CAD) approach to avoid shock-waves efficiently in platoon driving. Numerical results demonstrate that the CAD approach outperforms the compared techniques in the number of shock-waves, average vehicle velocity, average travel time and time to collision (TTC). Additionally, the adaptive platoon length is determined according to the traffic information gathered from the global and local clouds.

Słowa kluczowe

EN

mobile edge computing; active safe driving; cooperative platoon driving; cooperative adaptive cruise control

PL

przetwarzanie mobilne; bezpieczna jazda; tempomat adaptacyjny

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2019
• Tom: Vol. 29, no. 2
• Strony: 213--225
• Opis fizyczny: Bibliogr. 41 poz., rys., tab., wykr.

Twórcy

autor

Chang Ben-Jye

• Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, 123 University Rd., Sec. 3, Douliou, Yunlin 64002, Taiwan, Republic of China

autor

Hwang Ren-Hung

• Department of Computer Science and Information Engineering, National Chung Cheng University, 168, University Rd., Sec. 1, Minhsiung, Chiayi 62102, Taiwan, Republic of China

autor

Tsai Yueh-Lin

• Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, 123 University Rd., Sec. 3, Douliou, Yunlin 64002, Taiwan, Republic of China

autor

Yu Bo-Han

• Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, 123 University Rd., Sec. 3, Douliou, Yunlin 64002, Taiwan, Republic of China

autor

Liang Ying-Hsin

• Department of Multimedia Animation and Application, Nan Kai University of Technology, 568, Zhongzheng Rd., Caotun, Nantou, 542, Taiwan, Republic of China

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).