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Author:

Wang, Zhuwei (Wang, Zhuwei.) | Guo, Yuehui (Guo, Yuehui.) | Fang, Chao (Fang, Chao.) | Li, Meng (Li, Meng.) | Sun, Yang (Sun, Yang.) | Zhang, Yanhua (Zhang, Yanhua.) (Scholars:张延华)

Indexed by:

CPCI-S

Abstract:

In this paper, an optimal control algorithm for connected vehicle systems is proposed in order to ensure the vehicular platoon stable as well as reduce the transmission power consumptions in the presence of the network-induced delays. First, the vehicle dynamic modeling and power consumption analysis are addressed based on a typical 3-vehicle platoon. With the objective of minimizing the deviations of vehicle's headway and velocity as well as reducing power consumption, an optimization problem is formulated using a quadratic cost function. Then, the design of the optimal control strategy with minimum power consumption for connected vehicle systems can be divided into two steps: first the minimal hop routings for human-driven vehicles are obtained based on the network topology, and then the optimal control strategy is derived based on the determined transmission routing.

Keyword:

power consumption Connected vehicle systems time delay optimal control

Author Community:

  • [ 1 ] [Wang, Zhuwei]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Guo, Yuehui]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Fang, Chao]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Meng]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Sun, Yang]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Zhang, Yanhua]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Wang, Zhuwei]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

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Source :

2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

ISSN: 2334-0983

Year: 2019

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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