Highway chain collision avoidance using inter-vehicular communications

Ashrafi, Mohammad Javad Fazel; Yousefi, Saleh; Karimi, H. R.; Hosseini, Soodeh; Rostami, Habib; Ataeian, Hamid Reza

doi:10.1109/iccke.2013.6682830

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…To improve the efficiency of traffic operations and ensure the safety of drivers, many assisted driving schemes have been proposed. Many schemes [1,4,7,8] deal with the driving information but do not consider the efficiency of the processing. All the calculation tasks are completed on the vehicle.…”

Section: Assisted Driving Technologymentioning

confidence: 99%

A Trusted Edge Resource Allocation Framework for Internet of Vehicles

Zhong,

Xu,

Liao

et al. 2023

CMC

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With the continuous progress of information technique, assisted driving technology has become an effective technique to avoid traffic accidents. Due to the complex road conditions and the threat of vehicle information being attacked and tampered with, it is difficult to ensure information security. This paper uses blockchain to ensure the safety of driving information and introduces mobile edge computing technology to monitor vehicle information and road condition information in real time, calculate the appropriate speed, and plan a reasonable driving route for the driver. To solve these problems, this paper proposes a trusted edge resource allocation framework for assisted driving service, which includes two stages: the blockchain generation stage (the first stage) and assisted driving service stage (the second stage). Furthermore, in the first stage, a delay-and-throughput-oriented block generation model for the mobile terminal is designed. In the second stage, a balanced offloading algorithm for assisted driving service based on edge collaboration is proposed to solve the problems of unbalanced load of cluster mobile edge computing (MEC) servers and low resource utilization of the system. And this paper optimizes the throughput of blockchain and delay of the transportation network through deep reinforcement learning (DRL) algorithm. Finally, compared with joint computation and communication resources' allocation (JCCR) and resource allocation method based on binary offloading (RAB), our proposed scheme can optimize the delay by 7.4% and 26.7%, and support various application services of the vehicular networks more effectively.

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Section: Assisted Driving Technologymentioning

confidence: 99%

A Trusted Edge Resource Allocation Framework for Internet of Vehicles

Zhong,

Xu,

Liao

et al. 2023

CMC

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“…Considerable research and work has been carried out in the field of connected vehicles [1], particularly with regard to utilising this connectivity to share data between vehicles, thus reducing road-traffic accidents [2] and improving traffic flow [3]. Research has also highlighted concerns with regards to the security of these networks [4].…”

Section: Introductionmentioning

confidence: 99%

Privacy Implications of Smartphone-Based Connected Vehicle Communications

Paul

Thomas

Irvine

2015

2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)

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Considerable work has been carried out into making the vision of connected vehicles a reality, with inter-operable communications to take place between vehicles for the purpose of improving road safety and alerting road users to accidents or sudden braking. The cost of deploying such a solution to large numbers of vehicles is significant, and vehicles have a much longer lifespan than other consumer equipment, leading to other work considering the use of smartphones as possible devices for such connected vehicle networks. In this paper, we consider the security and privacy implications of using smartphone based platforms for connected vehicle applications, both in vehicles, and those carried by pedestrians. We also consider the general risks of relying on consumer smartphones, particularly with regard to the lack of long-term security updates being available. We finally explore the need for privacy to be considered in the design of solutions, in addition to the well-recognised need for security, and explore the trade-off between anonymity and prevention of abuse, in the context of designing future connected vehicle technologies.

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