Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways

Li, Ye; Li, Zhibin; Wang, Hao; Wang, Wei; Xing, Lu

doi:10.1016/j.aap.2017.04.025

Cited by 168 publications

(100 citation statements)

References 44 publications

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“…Fortunately, authors have observed our data that within a narrow range of values of w and k, as well as found that general shape of τ i (t) was constant across different measurements. Thus, in our analysis authors observed and used mean w = 6 km/h, similar with the common value in many studies using NGSIM data such as the literatures [16], [23].…”

Section: Behavior Measurementsmentioning

confidence: 71%

Using Asymmetric Theory to Identify Heterogeneous Drivers’ Behavior Characteristics Through Traffic Oscillation

Qian

Peng

et al. 2019

IEEE Access

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This paper applies the asymmetric driving theory to capture driving characteristics of car-following behavior throughout traffic oscillation. Unmanned aerial vehicle (UAV) was employed to record videos near a bottleneck on an expressway in Nanjing, China, from which authors used advanced image processing technology to track and extract the high-fidelity vehicles trajectory data for a microscopic analysis in this study. First, with analyzing the individual vehicle trajectory throughout oscillation, authors find that the driving characteristics of drivers are heterogeneous but show several consistent features: before and after experiencing oscillation, relatively more drivers tend to maintain aggressive driving, i.e., 49.7% are originally aggressive (OA) and 37.2% are later aggressive (LA). Second, the statistical analysis indicates some representative characteristics of Chinese drivers: the polarization (aggressive or timid) is more significant before oscillation (OA 49.7%, originally Newell ON 18.9% and originally timid OT 31.4%) but changing to relative equilibrium after oscillation (LA 37.2%, later Newell LN 33.8% and later timid LT 29%). Finally, the authors also find that the type and intensity of each driver's reaction in oscillation are related to the characteristics he or she have before encountering oscillation. These findings of asymmetric driving behavior evolution in this paper may help to explain the causes of hysteresis and unstable traffic flow phenomena. INDEX TERMS Car-following, driver behavior, reaction to oscillations, transition, asymmetric theory.

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Section: Behavior Measurementsmentioning

confidence: 71%

Using Asymmetric Theory to Identify Heterogeneous Drivers’ Behavior Characteristics Through Traffic Oscillation

Qian

Peng

et al. 2019

IEEE Access

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“…Among these measurements, TCC, firstly proposed by Hayward, (1972), is one of the most commonly utilized indicators to evaluate rear-end crash risks [40][41][42][43][44][45][46]. According to the definition of TCC [37], it refers to the time that remains for the occurrence of a collision between the two successive vehicles in the same lane.…”

Section: Surrogate Safety Measuresmentioning

confidence: 99%

Safety Analysis of a Modified Cooperative Adaptive Cruise Control Algorithm Accounting for Communication Delay

Wang

Hua

et al. 2020

Sustainability

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Cooperative adaptive cruise control (CACC) is a promising technology to improve traffic efficiency and enhance road safety. In this paper, a modified CACC control model considering the communication time delay is proposed, which is used to investigate the longitudinal safety impacts of the communication time delay to the CACC platoon. Then, the communication time delay model is integrated into the CACC model to simulate the realistic information transfer process in the CACC platoon. Then a microscopic CACC platoon simulation is designed and conducted to verify the feasibility and reliability of the modified CACC control algorithm. The obtained results reveal that the modified CACC control algorithm can not only reduce about 96.6% of inter-vehicle spacing error, but also enhance the vehicles’ ability to sense the upstream traffic changes. Furthermore, to quantitatively analyze the longitudinal safety influence of the time delay caused by representative communication systems, sensitivity analysis experiments of headway time were designed and conducted. In the sensitivity analysis, the time exposed time-to-collision (TET) and the time-integrated time-to-collision (TIT) were introduced as the key performance indicators (KPIs) to quantify the rear-end collision risks. Sensitivity analysis results demonstrate that the performance of the CACC platoon is strictly related to the applied wireless communication style. Furthermore, the CACC system supported by the 5th generation (5G) communication system shows great advantages in narrowing the minimal headway time gap and reducing the rear-end collision risks.

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“…Depending on roadway infrastructure type, previous CAV research can be categorized into two kinds: CAV trajectory control on freeways and CAV trajectory control on urban roads. The studies on freeway focused on optimizing vehicle trajectories [4][5][6][7][8] to deal with speed oscillation in stop-and-go conditions [9][10][11][12][13][14][15] and dangerous situations caused by lane change and merges [16][17][18][19][20]. Research on 2 of 16 urban roads mainly dealt with CAV trajectory control at intersections [21][22][23][24], where traffic flow can be interrupted by signals.…”

Section: Introductionmentioning

confidence: 99%

A CAV Platoon Control Method for Isolated Intersections: Guaranteed Feasible Multi-Objective Approach with Priority

2020

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This paper proposed a multi-objective guaranteed feasible connected and autonomous vehicle (CAV) platoon control method for signalized isolated intersections with priorities. Specifically, we prioritized the intersection throughput and traffic efficiency under a pre-defined signal cycle, based on which we minimized fuel consumption and emissions for CAV platoons. Longitudinal safety was also considered as a necessary condition. To handle the aforementioned targets, we firstly designed a vehicular sub-platoon splitting algorithm based on Farkas lemma to accommodate a maximum number of vehicles for each signal green time phase. Secondly, the CAV optimal trajectories control algorithm was designed as a centralized cooperative model predictive control (MPC). Moreover, the optimal control problem was formulated as discrete linear quadratic control problems with constraints with receding predictive horizons, which can be efficiently solved by quadratic programming after reformulation. For rigor, the proofs of the recursive feasibility and asymptotic stability of our proposed predictive control model were provided. For evaluation, the performance of the control algorithm was compared against a non-cooperative distributed CAV control through simulation. It was found that the proposed method can significantly enhance both traffic efficiency and energy efficiency with ensured safety for CAV platoons at urban signalized intersections.

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Evaluating the safety impact of adaptive cruise control in traffic oscillations on freeways

Cited by 168 publications

References 44 publications

Using Asymmetric Theory to Identify Heterogeneous Drivers’ Behavior Characteristics Through Traffic Oscillation

Using Asymmetric Theory to Identify Heterogeneous Drivers’ Behavior Characteristics Through Traffic Oscillation

Safety Analysis of a Modified Cooperative Adaptive Cruise Control Algorithm Accounting for Communication Delay

A CAV Platoon Control Method for Isolated Intersections: Guaranteed Feasible Multi-Objective Approach with Priority

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