Runtime Monitoring for Cyber-physical Systems: A Case Study of Cooperative Adaptive Cruise Control

2012 ◽  
Author(s):  
Jianhui Mao ◽  
Liqian Chen
Keyword(s):  
Adaptive Cruise Control ◽  
Cyber Physical Systems ◽  
Runtime Monitoring ◽  
Cruise Control ◽  
Physical Systems ◽  
Cooperative Adaptive Cruise Control

Smart Driving System for Improving Traffic Flow

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.

scholarly journals String Stable Model Predictive Cooperative Adaptive Cruise Control for Heterogeneous Platoons

2019 ◽  
Vol 4 (2) ◽  
pp. 186-196 ◽  
Author(s):  
Ellen van Nunen ◽  
Joey Reinders ◽  
Elham Semsar-Kazerooni ◽  
Nathan van de Wouw
Keyword(s):  
Adaptive Cruise Control ◽  
Stable Model ◽  
Cruise Control ◽  
Cooperative Adaptive Cruise Control

scholarly journals Model-Based Control Design and Integration of Cyberphysical Systems: An Adaptive Cruise Control Case Study

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Emeka Eyisi ◽  
Zhenkai Zhang ◽  
Xenofon Koutsoukos ◽  
Joseph Porter ◽  
Gabor Karsai ◽  
...  
Keyword(s):  
Adaptive Cruise Control ◽  
Control Design ◽  
Systematic Design ◽  
Cyberphysical Systems ◽  
Cruise Control ◽  
Automotive Control ◽  
Experimental Platform ◽  
Complex Interactions ◽  
Systematic Methodology

The systematic design of automotive control applications is a challenging problem due to lack of understanding of the complex and tight interactions that often manifest during the integration of components from the control design phase with the components from software generation and deployment on actual platform/network. In order to address this challenge, we present a systematic methodology and a toolchain using well-defined models to integrate components from various design phases with specific emphasis on restricting the complex interactions that manifest during integration such as timing, deployment, and quantization. We present an experimental platform for the evaluation and testing of the design process. The approach is applied to the development of an adaptive cruise control, and we present experimental results that demonstrate the efficacy of the approach.

Modeling of cooperative adaptive cruise control vehicle and its effect on traffic flow

2021 ◽  
pp. 2250022
Author(s):  
Jianzhong Chen ◽  
Yang Zhou ◽  
Jing Li ◽  
Huan Liang ◽  
Zekai Lv ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Cooperative Control ◽  
Adaptive Cruise Control ◽  
Cruise Control ◽  
Lane Changing ◽  
Vehicle Communication ◽  
Traffic Efficiency ◽  
Vehicle To Vehicle ◽  
Road Capacity ◽  
Cooperative Adaptive Cruise Control

In this paper, an improved multianticipative cooperative adaptive cruise control (CACC) model is proposed based on fully utilizing multivehicle information obtained by vehicle-to-vehicle communication. More flexible, effective and practical spacing strategy is embedded into the model. We design a new lane-changing rule for CACC vehicles on the freeway. The rule considers that CACC vehicles are more inclined to form a platoon for coordinated control. Furthermore, we investigate the effect of CACC vehicles on two-lane traffic flow. The results demonstrate that introducing CACC vehicles into mixed traffic and forming CACC platoon to cooperative control can improve traffic efficiency and enhance road capacity to a certain extent.

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