scholarly journals Improve adaptive cruise control under driver distraction: Time headway compensation based on a random‐effect crash risk model

2021 ◽  
Author(s):  
Penghui Li ◽  
Mengxia Hu ◽  
Feng Chen ◽  
Chengliang Xu ◽  
Chunjiao Dong ◽  
...  
Keyword(s):  
Adaptive Cruise Control ◽  
Risk Model ◽  
Random Effect ◽  
Driver Distraction ◽  
Crash Risk ◽  
Cruise Control ◽  
Time Headway

Driver's behavioral adaptation to Adaptive Cruise Control (ACC): The case of speed and time headway

2014 ◽  
Vol 49 ◽  
pp. 77.e1-84 ◽  
Author(s):  
Giulio Francesco Bianchi Piccinini ◽  
Carlos Manuel Rodrigues ◽  
Miguel Leitão ◽  
Anabela Simões
Keyword(s):  
Adaptive Cruise Control ◽  
Behavioral Adaptation ◽  
Cruise Control ◽  
Time Headway

scholarly journals Incorporating Driver Relaxation into Factory Adaptive Cruise Control and its Implications on Traffic Operation

2021 ◽  
Author(s):  
Hao Zhou ◽  
Jorge Laval
Keyword(s):  
Adaptive Cruise Control ◽  
Smooth Transition ◽  
Vehicle Speed ◽  
Cruise Control ◽  
Lane Changing ◽  
Speed Reduction ◽  
Time Headway ◽  
Traffic Operation ◽  
The Impact ◽  
Lateral Propagation

Current adaptive cruise control (ACC) systems adopt fixed desired time headway, which leads to an abrupt speed reduction after being cut-in by a lane changer in front or when changing lanes too close to the new leader. In contrast, human drivers behave differently and feature a variable spacing within 20 or 30 seconds right after a cut-in or lane change. Motivated by the smooth transition found in driver relaxation, the paper aims to incorporate relaxation into ACC systems. Based on the open-source ACC platform, Openpilot, Comma.ai, the paper proposes a feasible relaxation model compatible with current factory ACCs, which has also been tested using a market car with stock ACC hardware. The study further investigates the impact of relaxation ACC on traffic operation. Numerical simulation suggests that incorporating relaxation into ACC can help: i) reduce the magnitude of speed perturbations in both cut-in vehicles and followers; ii) stabilize the lane-changing traffic by reducing the speed variance and prevent the lateral propagation of congestion, and iii) increase the average vehicle speed and capacity in merging traffic.

Adaptive cruise control system based on improved variable time headway spacing strategy

2021 ◽  
Vol 40 (1) ◽  
pp. 1471-1479
Author(s):  
Jin Mao ◽  
Lei Yang ◽  
Kai Liu ◽  
Jinfu Du ◽  
Yahui Cui
Keyword(s):  
Predictive Control ◽  
Adaptive Cruise Control ◽  
Driving Safety ◽  
Cruise Control ◽  
Variable Time ◽  
Time Headway ◽  
System A ◽  
Cruise Control System ◽  
Preceding Vehicle ◽  
Deceleration Time

In the following process, in order to improve the driving safety and road utilization of the adaptive cruise control (ACC) system, a variable time headway spacing strategy was studied. In view of the fact that the variable spacing strategy cannot adapt to the complex and variable deceleration conditions, an improved variable time headway strategy is proposed, which changes with the deceleration time and deceleration of the preceding vehicle. Based on this, the upper controller of adaptive cruise control based on model predictive control is designed, and numerical simulation of the variable time headway spacing strategy is performed, which verifies the effectiveness of the improved variable time headway strategy. The results show that the spacing strategy proposed in this paper can more smoothly keep up with the preceding vehicle, and improve driving safety, comfort and road utilization.

scholarly journals Empirical Study on the Properties of Adaptive Cruise Control Systems and Their Impact on Traffic Flow and String Stability

2020 ◽  
Vol 2674 (4) ◽  
pp. 471-484 ◽  
Author(s):  
Michail Makridis ◽  
Konstantinos Mattas ◽  
Biagio Ciuffo ◽  
Fabrizio Re ◽  
Akos Kriston ◽  
...  
Keyword(s):  
Response Time ◽  
Traffic Flow ◽  
Adaptive Cruise Control ◽  
Numerical Differentiation ◽  
Time Range ◽  
Cruise Control ◽  
Standard Equipment ◽  
Time Headway ◽  
The Road ◽  
Road Gradient

Adaptive cruise control (ACC) systems are standard equipment in many commercially available vehicles. They are considered the first step of automation, and their market penetration rate is expected to rise, along with the interest of researchers worldwide to assess their impact in relation to traffic flow and stability. These properties are currently discussed mainly through microsimulation studies and empirical observations, with the first being the most common. Experimental observations can draw safer conclusions about the behavior of such systems, but the literature is limited. In this work, an experimental campaign with five vehicles equipped with ACC was conducted at the proving ground of AstaZero in Sweden to improve understanding on the properties of ACC systems and their functionality under real driving conditions. The main parameters under investigation are the response time of controllers, the available time headway settings, and the stability of the car-platoon. The results show that the response time range for the controllers is between 1.7 and 2.5 s, significantly longer than the values reported in the literature. The range of the time headway settings was found to be quite broad. Finally, a dataset of perturbations on a variety of equilibrium speeds of the car-platoon and of variable magnitudes was created. Results clearly highlight the instability of the car-platoon. Instability is also displayed even for slight perturbations derived by variability in the road gradient. Numerical differentiation on the altitude shows a negative correlation with the speed trajectory of the leading vehicle.

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