A Dynamic Parameter Tuning Algorithm for Cooperative Adaptive Cruise Control Considering Varying Wireless Communication Delay

Communication delay is detrimental to the performance of cooperative adaptive cruise control (CACC) systems. In this paper, we incorporate communication delay explicitly into control design and propose a delay-compensating CACC. In this new CACC system, the semi-constant time gap (Semi-CTG) policy, which is modified on the basis of the widely-used CTG policy, is employed by a linear feedback control law to regulate the spacing error. The semi-CTG policy uses historical information of the predecessor instead of its current information. By doing so, communication delay is fully compensated, which leads to better stability performance. Three stability properties—local stability, string stability, and traffic flow stability—are analyzed. The local stability and string stability of the proposed CACC system are guaranteed with the desired time gap as small as the communication delay. Both theoretical analysis and simulation results show that the delay-compensating CACC has better string stability and traffic flow stability than the widely-used CACC system. Furthermore, the proposed CACC system also shows the potential for improving traffic throughput and fuel efficiency. Robustness of the proposed system against uncertainties of sensor delay and vehicle dynamics is also verified with simulation.

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Experimental Evaluation of Different Controllers for Cooperative Adaptive Cruise Control

Volume 1: Aerospace Applications; Advances in Control Design Methods; Bio Engineering Applications; Advances in Non-Linear Control; Adaptive and Intelligent Systems Control; Advances in Wind Energy Systems; Advances in Robotics; Assistive and Rehabilitation Robotics; Biomedical and Neural Systems Modeling, Diagnostics, and Control; Bio-Mechatronics and Physical Human Robot; Advanced Driver Assistance Systems and Autonomous Vehicles; Automotive Systems ◽

10.1115/dscc2017-5374 ◽

2017 ◽

Cited By ~ 2

Author(s):

Yuan Lin ◽

Azim Eskandarian

Keyword(s):

Control System ◽

Wireless Communication ◽

System Design ◽

Adaptive Cruise Control ◽

Control System Design ◽

Cruise Control ◽

Cooperative Adaptive Cruise Control ◽

Advanced Control ◽

Non Linear ◽

Error Regulation

Cooperative Adaptive Cruise Control (CACC) systems which enable vehicle following with tight inter-vehicle head-way offer unique advantage to promote transportation mobility. CACC systems are a step forward the commercially available Adaptive Cruise Control (ACC) systems as they utilize inter-vehicle wireless communication for more advanced control system design. This work studies different wireless communication topologies, i.e., receiving wireless communication from one or more preceding vehicles, and different error-regulation controllers, i.e., linear vs non-linear, for CACC. Through robot following experiments, we show that appropriately designed CACC systems can all achieve vehicle following. For emergency hard braking, however, a non-linear vehicle-following controller which generates strong braking action at short inter-vehicle distances can reduce the risk of collision.

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A Safety Reinforced Cooperative Adaptive Cruise Control Strategy Accounting for Dynamic Vehicle-to-Vehicle Communication Failure

Sensors ◽

10.3390/s21186158 ◽

2021 ◽

Vol 21 (18) ◽

pp. 6158

Author(s):

Yi Liu ◽

Wei Wang

Keyword(s):

Wireless Communication ◽

Control Strategy ◽

Adaptive Cruise Control ◽

Smooth Transition ◽

Cruise Control ◽

Communication Failure ◽

Advanced Technique ◽

Vehicle To Vehicle ◽

Cooperative Adaptive Cruise Control ◽

Vehicle Platoon

Cooperative Adaptive Cruise Control (CACC) is an advanced technique for organizing and managing a vehicle platoon, which employs the Vehicle-to-Vehicle/Vehicle-to-Infrastructure (V2V/V2I, or V2X) wireless communication to minimize the inter-vehicle distance while guaranteeing string-stability. Consequently, the conventional CACC system relies heavily on the quality of communications, which means that the regular CACC platoon is sensitive to the communication failure. Therefore, in this paper, a Safety Reinforced Cooperative Adaptive Cruise Control (SR-CACC) strategy is proposed to resist unexpected communication failure. Different from the regular CACC system, the safety enhanced platoon control system is embedded with a dual-branch control strategy. When a fatal wireless communication failure is detected and confirmed, the SR-CACC system will automatically activate the alternative sensor-based adaptive cruise control strategy. Moreover, to make the transforming process smooth, a linear smooth transition algorithm is added to the SR-CACC system. Then, to verify the performance of the proposed SR-CACC system, we conducted a simulation experiment with a heterogonous platoon constructed with eight vehicles. The experiments results reveal that, under the extremely poor communication environment, the proposed SR-CACC strategy can significantly improve the safety performance of the organized vehicle platoon.

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Smart Driving System for Improving Traffic Flow

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i7/0174 ◽

2017 ◽

Vol 7 (7) ◽

pp. 236

Author(s):

Rajesh Kumar Gupta ◽

L. N. Padhy ◽

Sanjay Kumar Padhi

Keyword(s):

Traffic Flow ◽

Traffic Congestion ◽

Urban Areas ◽

Adaptive Cruise Control ◽

Human Perception ◽

Cruise Control ◽

Driving System ◽

V2v Communication ◽

Traffic Conditions ◽

Cooperative Adaptive Cruise Control

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay. For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.

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