Construction and Simulation of Rear-End Conflicts Recognition Model Based on Improved TTC Algorithm

Ge, Huan; Xia, Ran; Sun, Hui; Yang, Yaojing; Huang, Mingyue

doi:10.1109/access.2019.2937898

Cited by 18 publications

(10 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previously, various indexes have been proposed and extensively applied [15], [46]. In this study, we utilize a RCRI based on safe stopping distance, which has been widely used in previous researches [4], [11], [20], [47], [48]. Assume that the preceding vehicle takes an emergency stopping maneuver with the maximum deceleration rate.…”

Section: B Surrogate Safety Measurementioning

confidence: 99%

Impact Evaluation of Cyber-Attacks on Traffic Flow of Connected and Automated Vehicles

Dong

Wang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Connected and automated vehicles (CAVs) can improve transportation safety and efficiency based on vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) communications. However, there are potential cyber threats to the communication systems via on-board unit equipped in CAVs and roadside unit. Based on existing traffic flow models, we design an evaluation framework for cyber-attacks on CAVs, and further investigate the impact of proportion of cyber-attacked vehicles, cyber-attack severity, cyber-attack range and traffic demand. Moreover, performance of the transportation system is analysed based on four indicators, including efficiency, safety, emissions and fuel consumption. The numerical simulation results show that with the increase of cyber-attacked vehicles and higher cyber-attack severity, the negative impact on traffic flow gradually becomes notable with lower capacity, higher risk of rear-end collision, more air pollutants and fuel consumption. In addition, it may lead to accidents and inefficient traffic operations if cyber-attacks occur on position rather than speed, and thus the position-attacked traffic system consumes more energy and emits more pollutants. The findings of this study provide useful information for the prediction of future cyber-attacked traffic, comprehensive evaluation of transportation systems, as well as management of automated highway systems from the perspective of network security. INDEX TERMS Cyber-attack, cooperative adaptive cruise control, connected and automated vehicles, safety level.

show abstract

Section: B Surrogate Safety Measurementioning

confidence: 99%

Impact Evaluation of Cyber-Attacks on Traffic Flow of Connected and Automated Vehicles

Dong

Wang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The 85% cumulative frequency curve method is a common method in traffic engineering. According to the velocity distribution generated by the measured cumulative frequency curve, the velocity corresponding to 85% cumulative frequency is selected as the speed limit value [38]- [40]. In this paper, the TTC value corresponding to 85% cumulative frequency is used as the threshold to judge traffic conflicts.…”

Section: Threshold Calculationmentioning

confidence: 99%

Research on Calculation of Warning Zone Length of Freeway Based on Micro-Simulation Model

Yang

2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

The traditional calculation method can only determine the minimum length of the warning zone. In this paper, it proposes a method to determine the length of freeway warning zone using VISSIM simulation model and surrogate safety assessment model (SSAM). The simulation model of freeway maintenance work zones is constructed based on VISSIM, and calibrates the VISSIM simulation model. Through improving the time to collision (TTC) model, the traffic conflict discrimination threshold of the freeway maintenance work zone was determined. Based on the average absolute percentage error (MAPE) of traffic conflict, the validity of VISSIM simulation model and threshold are verified. Meanwhile, the SSAM is used to determine the changing trend of the number of traffic conflicts; a linear regression model is established to analyze the relationship between simulated and observed traffic conflicts. In addition, under different traffic conditions, the relationship between travel time, delay, traffic conflict and the warning zone length is analyzed. Based on traffic conflict number and safety evaluation index, the optimal length of warning zone is determined, and the relationship between warning zone length and safety evaluation index is studied. The results show that the simulated traffic conflict is reasonable consistent with the observed traffic conflict; under different traffic conditions, travel time and delay increase slowly with the increase of warning zone length; traffic conflicts decrease with the increase of warning zone length, when the warning zone length is more than 2200 m, traffic conflicts show a certain convergence state; When the warning zone length is 2200m, the number of traffic conflicts, delay and safety evaluation index are the minimum, and the safety is the best. Therefore, the method can determine the optimal length of the warning area and improve the safety of the warning zone.INDEX TERMS Maintenance work zones, simulation model, warning zone length, traffic conflict. I. INTRODUCTION

show abstract

“…Firstly, they analyzed the characteristics (e.g., crash severity, crash rate, and crash types) of the historic accident data and established the risk prediction model [5][6][7][8]. Secondly, they carried out a risk assessment based on the theory of traffic conflicts using the nonaccident data (e.g., the time to collision and deceleration rate to avoid the crash) [9][10][11][12]. In addition to the above two dominating research directions, some researchers have carried out related research from the perspective of psychology and physiology (e.g., speed preference and driver perception) [13][14][15].…”

Section: Literature Reviewmentioning

confidence: 99%

The Driving Risk Analysis and Evaluation in Rightward Zone of Expressway Reconstruction and Extension Engineering

Zhang

Wang

Yang

et al. 2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

In the expressway reconstruction and expansion engineering, the form of rightward zone is increasingly adopted, and its complicated traffic conditions can easily cause traffic accidents. In order to quickly and effectively grasp the traffic risk of the right diversion section, this study employs average speed, the coefficient of variation, the equivalent minimum safety distance, and the deceleration as evaluation indexes of driving risk, and then analyses the influence rules of traffic volume, the proportion of large vehicles, and the length of the transition section on each evaluation index by using Vissim simulation software. On the basis of this, we determine the weight of each evaluation index by the entropy method and establish the driving risk index evaluation model of the work zone with multiple linear regression. The results show that the partial regression coefficients of traffic volume, the proportion of large vehicles, and the length of the transition section to the driving risk index are 0.059, 0.317, and 0.15, respectively. Finally, in this paper, we analyze the traffic risk of example section based on the driving risk evaluation model. The results of evaluation are consistent with the number of measured conflicts. This study proposes a new method for predicting the traffic risk of the expressway reconstruction and extension engineering, which can provide a reference for the development of safety management measures in the rightward zone.

show abstract

Construction and Simulation of Rear-End Conflicts Recognition Model Based on Improved TTC Algorithm

Cited by 18 publications

References 21 publications

Impact Evaluation of Cyber-Attacks on Traffic Flow of Connected and Automated Vehicles

Impact Evaluation of Cyber-Attacks on Traffic Flow of Connected and Automated Vehicles

Research on Calculation of Warning Zone Length of Freeway Based on Micro-Simulation Model

The Driving Risk Analysis and Evaluation in Rightward Zone of Expressway Reconstruction and Extension Engineering

Contact Info

Product

Resources

About