Author(s)

Xiaoyuan Yue ¹, Rui Liang ¹, Weiyi Qin ¹

Affiliation(s)

¹ SAIC Volkswagen Automotive Co., Ltd, 63. Luopu Road, Shanghai, China

Corresponding Author

Xiaoyuan Yue

ABSTRACT

With the continuous development and popularity of the automobile industry, people's demand for mobility has gradually increased, which in turn has caused traffic congestion and risen energy consumption. In this paper, based on the C-V2X technology, combined with traffic flow simulation model IDM and fuel consumption evaluation model VT-Micro, the speed advisory algorithm is optimized to improve the problem of high collision risk between the single connected vehicle and queuing vehicles when the single connected vehicle drives to the congested signalized intersection. The simulation results indicate that the stability of the vehicle's driving status can improve the fuel economy. The speed optimization algorithm proposed in this paper can effectively avoid the risk of vehicle collision and significantly reduce fuel consumption by approximately 47% when facing congested signalized intersections.

KEYWORDS

Signalized Intersection, Congested Traffic, Speed Optimization, Energy Consumption, C-V2X

CITE THIS PAPER

Xiaoyuan Yue, Rui Liang, Weiyi Qin, Speed Optimization for Single Connected Vehicle at Congested Signalized Intersection Using C-V2X. Frontiers in Traffic and Transportation Engineering (2023) Vol. 3: 18-27. DOI: http://dx.doi.org/10.23977/ftte.2023.030103.

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Sponsors, Associates, and Links

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• Advances in Naval Architecture and Ocean Engineering
  
  
• Journal of Vehicle and Intelligent Transport System
  
  
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• Journal of Connected Vehicles