Cooperative Connected Autonomous Vehicles (CAV): Research, Applications and Challenges

Jianhua He, Andrew Radford, Laura Li, Zhiliang Xiong, Zuoyin Tang, Xiaoming Fu, Supeng Leng, Fan Wu, Kaisheng Huang, Jianye Huang, Jie Zhang, Yan Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Road accidents and traffic congestion are two critical problems for global transport systems. Connected vehicles (CV) and automated vehicles (AV) are among the most heavily researched and promising automotive technologies to reduce road accidents and improve road efficiency. However, both AV and CV technologies have inherent shortcomings, for example, line of sight sensing limitation of AV sensors and the dependency of high penetration rate for CVs. In this paper we present a cooperative connected intelligent vehicles (CAV) framework. It is motivated by the observation that vehicles are increasingly intelligent with various levels of autonomous functionalities. The vehicles intelligence is boosted by more sensing and computing resources. These sensor and computing resources of CAV vehicles and the transport infrastructure could be shared and exploited. With resource sharing and cooperation CAVs can have comprehensive perception of driving environments, and novel cooperative applications can be developed to improve road safety and efficiency (RSE). The key feature of the cooperative CAV system is the cooperation within and across the key players in the road transport systems and across system layers. For example, the various levels of cooperation include cooperative sensing, cooperative RSE applications and cooperation among the vehicles and among the vehicles and infrastructure. We will present the potentials that could be brought by cooperative CAV, the roadmap for research and development, the preliminary research results and open issues.
Original languageEnglish
Title of host publication27th IEEE International Conference on Network Protocols, ICNP 2019
PublisherIEEE
Number of pages6
ISBN (Electronic)9781728127002
DOIs
Publication statusPublished - 31 Oct 2019
Event2019 IEEE 27th International Conference on Network Protocols (ICNP) - Chicago, IL, USA
Duration: 8 Oct 201910 Oct 2019

Publication series

NameProceedings - International Conference on Network Protocols, ICNP
Volume2019-October
ISSN (Print)1092-1648

Conference

Conference2019 IEEE 27th International Conference on Network Protocols (ICNP)
Period8/10/1910/10/19

Fingerprint

Highway accidents
Intelligent vehicle highway systems
Traffic congestion
Sensors

Keywords

  • Autonomous vehicles
  • CAV
  • Connected intelligent vehicles
  • Connected vehicles
  • Cooperative road safety

Cite this

He, J., Radford, A., Li, L., Xiong, Z., Tang, Z., Fu, X., ... Zhang, Y. (2019). Cooperative Connected Autonomous Vehicles (CAV): Research, Applications and Challenges. In 27th IEEE International Conference on Network Protocols, ICNP 2019 [8888126] (Proceedings - International Conference on Network Protocols, ICNP; Vol. 2019-October). IEEE. https://doi.org/10.1109/ICNP.2019.8888126
He, Jianhua ; Radford, Andrew ; Li, Laura ; Xiong, Zhiliang ; Tang, Zuoyin ; Fu, Xiaoming ; Leng, Supeng ; Wu, Fan ; Huang, Kaisheng ; Huang, Jianye ; Zhang, Jie ; Zhang, Yan. / Cooperative Connected Autonomous Vehicles (CAV): Research, Applications and Challenges. 27th IEEE International Conference on Network Protocols, ICNP 2019. IEEE, 2019. (Proceedings - International Conference on Network Protocols, ICNP).
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abstract = "Road accidents and traffic congestion are two critical problems for global transport systems. Connected vehicles (CV) and automated vehicles (AV) are among the most heavily researched and promising automotive technologies to reduce road accidents and improve road efficiency. However, both AV and CV technologies have inherent shortcomings, for example, line of sight sensing limitation of AV sensors and the dependency of high penetration rate for CVs. In this paper we present a cooperative connected intelligent vehicles (CAV) framework. It is motivated by the observation that vehicles are increasingly intelligent with various levels of autonomous functionalities. The vehicles intelligence is boosted by more sensing and computing resources. These sensor and computing resources of CAV vehicles and the transport infrastructure could be shared and exploited. With resource sharing and cooperation CAVs can have comprehensive perception of driving environments, and novel cooperative applications can be developed to improve road safety and efficiency (RSE). The key feature of the cooperative CAV system is the cooperation within and across the key players in the road transport systems and across system layers. For example, the various levels of cooperation include cooperative sensing, cooperative RSE applications and cooperation among the vehicles and among the vehicles and infrastructure. We will present the potentials that could be brought by cooperative CAV, the roadmap for research and development, the preliminary research results and open issues.",
keywords = "Autonomous vehicles, CAV, Connected intelligent vehicles, Connected vehicles, Cooperative road safety",
author = "Jianhua He and Andrew Radford and Laura Li and Zhiliang Xiong and Zuoyin Tang and Xiaoming Fu and Supeng Leng and Fan Wu and Kaisheng Huang and Jianye Huang and Jie Zhang and Yan Zhang",
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He, J, Radford, A, Li, L, Xiong, Z, Tang, Z, Fu, X, Leng, S, Wu, F, Huang, K, Huang, J, Zhang, J & Zhang, Y 2019, Cooperative Connected Autonomous Vehicles (CAV): Research, Applications and Challenges. in 27th IEEE International Conference on Network Protocols, ICNP 2019., 8888126, Proceedings - International Conference on Network Protocols, ICNP, vol. 2019-October, IEEE, 2019 IEEE 27th International Conference on Network Protocols (ICNP), 8/10/19. https://doi.org/10.1109/ICNP.2019.8888126

Cooperative Connected Autonomous Vehicles (CAV): Research, Applications and Challenges. / He, Jianhua; Radford, Andrew; Li, Laura; Xiong, Zhiliang; Tang, Zuoyin; Fu, Xiaoming; Leng, Supeng; Wu, Fan; Huang, Kaisheng; Huang, Jianye; Zhang, Jie; Zhang, Yan.

27th IEEE International Conference on Network Protocols, ICNP 2019. IEEE, 2019. 8888126 (Proceedings - International Conference on Network Protocols, ICNP; Vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Cooperative Connected Autonomous Vehicles (CAV): Research, Applications and Challenges

AU - He, Jianhua

AU - Radford, Andrew

AU - Li, Laura

AU - Xiong, Zhiliang

AU - Tang, Zuoyin

AU - Fu, Xiaoming

AU - Leng, Supeng

AU - Wu, Fan

AU - Huang, Kaisheng

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AU - Zhang, Yan

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N2 - Road accidents and traffic congestion are two critical problems for global transport systems. Connected vehicles (CV) and automated vehicles (AV) are among the most heavily researched and promising automotive technologies to reduce road accidents and improve road efficiency. However, both AV and CV technologies have inherent shortcomings, for example, line of sight sensing limitation of AV sensors and the dependency of high penetration rate for CVs. In this paper we present a cooperative connected intelligent vehicles (CAV) framework. It is motivated by the observation that vehicles are increasingly intelligent with various levels of autonomous functionalities. The vehicles intelligence is boosted by more sensing and computing resources. These sensor and computing resources of CAV vehicles and the transport infrastructure could be shared and exploited. With resource sharing and cooperation CAVs can have comprehensive perception of driving environments, and novel cooperative applications can be developed to improve road safety and efficiency (RSE). The key feature of the cooperative CAV system is the cooperation within and across the key players in the road transport systems and across system layers. For example, the various levels of cooperation include cooperative sensing, cooperative RSE applications and cooperation among the vehicles and among the vehicles and infrastructure. We will present the potentials that could be brought by cooperative CAV, the roadmap for research and development, the preliminary research results and open issues.

AB - Road accidents and traffic congestion are two critical problems for global transport systems. Connected vehicles (CV) and automated vehicles (AV) are among the most heavily researched and promising automotive technologies to reduce road accidents and improve road efficiency. However, both AV and CV technologies have inherent shortcomings, for example, line of sight sensing limitation of AV sensors and the dependency of high penetration rate for CVs. In this paper we present a cooperative connected intelligent vehicles (CAV) framework. It is motivated by the observation that vehicles are increasingly intelligent with various levels of autonomous functionalities. The vehicles intelligence is boosted by more sensing and computing resources. These sensor and computing resources of CAV vehicles and the transport infrastructure could be shared and exploited. With resource sharing and cooperation CAVs can have comprehensive perception of driving environments, and novel cooperative applications can be developed to improve road safety and efficiency (RSE). The key feature of the cooperative CAV system is the cooperation within and across the key players in the road transport systems and across system layers. For example, the various levels of cooperation include cooperative sensing, cooperative RSE applications and cooperation among the vehicles and among the vehicles and infrastructure. We will present the potentials that could be brought by cooperative CAV, the roadmap for research and development, the preliminary research results and open issues.

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KW - CAV

KW - Connected intelligent vehicles

KW - Connected vehicles

KW - Cooperative road safety

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U2 - 10.1109/ICNP.2019.8888126

DO - 10.1109/ICNP.2019.8888126

M3 - Conference contribution

T3 - Proceedings - International Conference on Network Protocols, ICNP

BT - 27th IEEE International Conference on Network Protocols, ICNP 2019

PB - IEEE

ER -

He J, Radford A, Li L, Xiong Z, Tang Z, Fu X et al. Cooperative Connected Autonomous Vehicles (CAV): Research, Applications and Challenges. In 27th IEEE International Conference on Network Protocols, ICNP 2019. IEEE. 2019. 8888126. (Proceedings - International Conference on Network Protocols, ICNP). https://doi.org/10.1109/ICNP.2019.8888126