Influence of cyber-attacks on longitudinal safety of connected and automated vehicles

Li, Ye; Tu, Yu; Fan, Q.; Dong, Changyin; Wang, Wei

doi:10.1016/j.aap.2018.09.016

Cited by 81 publications

(30 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are many kinds of cyber-attack such as denial of service (DoS), interference attack, false data injection attack and so on [21][22][23]. In this section we consider the false data injection attack.…”

Section: False Data Injection Attack Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Secure State Estimation for Motion Monitoring of Intelligent Connected Vehicle Systems

Song

Lou

Zhu

et al. 2020

Sensors

View full text Add to dashboard Cite

This paper considers the state estimation problem of intelligent connected vehicle systems under the false data injection attack in wireless monitoring networks. We propose a new secure state estimation method to reconstruct the motion states of the connected vehicles equipped with cooperative adaptive cruise control (CACC) systems. First, the set of CACC models combined with Proportion-Differentiation (PD) controllers are used to represent the longitudinal dynamics of the intelligent connected vehicle systems. Then the notion of sparseness is employed to model the false data injection attack of the wireless networks of the monitoring platform. According to the corrupted data of the vehicles’ states, the compressed sensing principle is used to describe the secure state estimation problem of the connected vehicles. Moreover, the L1 norm optimization problem is solved to reconstruct the motion states of the vehicles based on the orthogonaldecomposition. Finally, the simulation experiments verify that the proposed method can effectively reconstruct the motion states of vehicles for remote monitoring of the intelligent connected vehicle system.

show abstract

Section: False Data Injection Attack Modelsmentioning

confidence: 99%

“…They showed that fading channels degrade the performance of CACC systems through rich simulation experiments under various attacked scenarios. In addition, Li et al [23] summerized the influences of cyber-attacks on longitudinal safety of connected and automated vehicles via extensive simulations and sensitivity analysis.…”

Section: Introductionmentioning

confidence: 99%

Secure State Estimation for Motion Monitoring of Intelligent Connected Vehicle Systems

Song

Lou

Zhu

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Another study by Li et al (2018) investigated the effects of slight cyber-attack on longitudinal safety of AVs. They noted that connectivity features of AVs increase the susceptibility to cyber-attack.…”

Section: Potential Effects Of Avs On Safety and Securitymentioning

confidence: 99%

Potential Effects of Automated Vehicles on Road Transportation: A Literature Review

Beza

Zefreh

2019

Transport and Telecommunication Journal

View full text Add to dashboard Cite

Automated vehicles (AVs) are one of the emerging technologies that can perform the driving task themselves. The market penetration of AVs is expected to get growth in the close future. Therefore, it is crucial to have an overall clue on how they play the role in the road transportation sector. Automation might be assumed to have a beneficial impact on many aspects related to road transportation. The current paper attempts to investigate this rough assumption by reviewing the literature on the potential effects of automated vehicles on road transportation. A comprehensive look at the overall potential effects of automated vehicles will show the entire picture, and not just a cropped portion of that, to the researchers, decision makers, and practitioners and helps them to identify the negative and positive effects as well as challenges and uncertainties towards this new technology. In this paper, literature findings on the potential effects of automated vehicles on traffic flow, pedestrians mobility, travel demand and travel pattern, safety and security, and energy consumption and emissions are reviewed and discussed. According to the literature, it is concluded that AVs, as their market penetration increases, promisingly improve the capacity of a road network, eliminates human driver errors, and provide better mobility for groups of people who are currently facing travel-restriction conditions. However, the long-term effects of AVs especially on energy consumption, emission, pedestrian interaction, safety and security has uncertainty due to the complexity of predicting the future mobility pattern.

show abstract

“…If the stopping distance of the front vehicle is larger than the following vehicle, it is safe; otherwise, it is dangerous. Figure 2(b) illustrates the safe stopping distance and the RCRI can be derived as [53]. Besides conflict angle, rear-end collision risk index (RCRI) is another surrogate measure for rear-end collision, which is defined as the ratio of the number of unsafe car-following events.…”

Section: Surrogate Safety Measuresmentioning

confidence: 99%

“…If the stopping distance of the front vehicle is larger than the following vehicle, it is safe; otherwise, it is dangerous. Figure 2b illustrates the safe stopping distance and the RCRI can be derived as [53].…”

Section: Surrogate Safety Measuresmentioning

confidence: 99%

Simulation-Based Assessment of Multilane Separate Freeways at Toll Station Area: A Case Study from Huludao Toll Station on Shenshan Freeway

et al. 2019

Self Cite

View full text Add to dashboard Cite

To support the rapid growth of demand in passengers and freight, separating trucks and passenger-cars is a potential solution to improve traffic efficiency and safety. The primary purpose of this paper is to comprehensively assess the multilane separate freeway at Huludao Toll Station in Liaoning Province, China. Based on the configuration and segmentation of the freeway near a toll station, a six-step guidance strategy is designed to adapt to the separate organization mode. Five conventional traffic scenarios are designed in the Vissim platform for comparative analysis between different guidance strategies. To investigate the vehicle-to-infrastructure (V2I) environment, a microscopic testbed is established with cooperative car-following and lane-changing models using the MATLAB platform. The numerical simulation results show that the guidance strategy significantly improves efficiency and safety, and also reduces emissions and fuel consumption. Meanwhile, pre-guidance before toll channels outperforms the scenario only applied with guidance measures after toll plaza. Compared to conventional conditions, the assessment of pollutant emissions and fuel consumption also embodies the superiority of the other five scenarios, especially in the sections of toll plaza and channels with the lowest efficiency and safety level. Generally, all indexes indicate that the cooperative V2I technology is the best alternative for multilane separate freeways.

show abstract

Influence of cyber-attacks on longitudinal safety of connected and automated vehicles

Cited by 81 publications

References 23 publications

Secure State Estimation for Motion Monitoring of Intelligent Connected Vehicle Systems

Secure State Estimation for Motion Monitoring of Intelligent Connected Vehicle Systems

Potential Effects of Automated Vehicles on Road Transportation: A Literature Review

Simulation-Based Assessment of Multilane Separate Freeways at Toll Station Area: A Case Study from Huludao Toll Station on Shenshan Freeway

Contact Info

Product

Resources

About