Research advances in intelligent collision avoidance and adaptive cruise control

By Ardalan Vahidi, Azim Eskandarian. IEEE transactions on intelligent transportation systems (Print), 2003

866 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Social Psychology

View Paper: https://www.semanticscholar.org/paper/dfbb9078d75d41e3a58ab06e64d876d76b1b1970

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Citations in the corpus

Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time (2011, background): “The minimum safe distance between the vehicle and the front vehicle (target) should be a function of the vehicle speed and is chosen as [8]”
A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles (2016, background): “hazard-minimizing longitudinal/lateral control [19] or emergency braking [20], [21], often based upon set-based formal”
A Survey of Inter-Vehicle Communication (2004, background): “Traditional solutions to this issue involve mainly automatic control systems for individual vehicles [34], but IVC can help to make the coordination more efficient.”
Design and experimental evaluation of cooperative adaptive cruise control (2011, methodology): “Consequently, relatively large inter-vehicle distances are adopted [1], with a standardized minimum of 1 s time headway [2], the latter referring to the geometric distance divided by the vehicle velocity.”
Practical String Stability of Platoon of Adaptive Cruise Control Vehicles (2011, background): “Until now, most automakers around the world have made the ACC system available in their luxury vehicles with a tendency to extend this feature from high-end vehicles to midrange vehicles [3], [4].”
Control Barrier Function Based Quadratic Programs for Safety Critical Systems (2016, neutral): “The CBF-CLF-based QPs are illustrated on two automotive safety/convenience problems; namely, Adaptive Cruise Control (ACC) and Lane Keeping (LK) [31], [32], [33], [34].”
Control barrier function based quadratic programs with application to adaptive cruise control (2014, background): “A variety of solutions have been proposed (see the survey paper [24]).”
Driver Behavior and Situation Aware Brake Assistance for Intelligent Vehicles (2007, background): “Vahidi et al. [ 21 ] provide an extensive summary of such efforts.”
String-Stable CACC Design and Experimental Validation: A Frequency-Domain Approach (2010, background): “intervehicle distances are adopted in commercially available systems [1]–[3].”
Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, background): “Hence, AV has great potential in reducing trafﬁc accidents and improving vehicle safety [3].”
A Review of Communication, Driver Characteristics, and Controls Aspects of Cooperative Adaptive Cruise Control (CACC) (2016, background): “system allows a vehicle to drive behind a leader at a certain distance, which improves roadway capacity and traffic safety as well as fuel efficiency [8].”
Flow: A Modular Learning Framework for Mixed Autonomy Traffic (2017, background): “A widely deployed form of vehicle automation is adaptive cruise control (ACC), which adjusts the longitudinal dynamics for vehicle pacing and driver comfort, and is grounded in classical control techniques [45], [46], [47].”
Control of Connected and Automated Vehicles: State of the Art and Future Challenges (2018, background): “An important role is also played by the inter-vehicular spacing policy: most systems adopt a constant distance policy or a constant heading time policy [121, 124, 125], as we discuss further in the next paragraph.”
Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control (2017, background): “…trade away the complexity of the model (and thus the realism of the model) in favor of the tractability of analysis, using high level abstraction with the goal of designing optimal controllers or other controllers with desirable properties, such as safety or comfort [58], [59], [60], [61].”