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

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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Cooperative adaptive cruise control in mixed traffic with selective use of vehicle-to-vehicle communication

IET Intelligent Transport Systems ◽

10.1049/iet-its.2018.5235 ◽

2018 ◽

Vol 12 (10) ◽

pp. 1243-1254 ◽

Cited By ~ 7

Author(s):

Linjun Zhang

Keyword(s):

Adaptive Cruise Control ◽

Mixed Traffic ◽

Cruise Control ◽

Vehicle Communication ◽

Vehicle To Vehicle ◽

Cooperative Adaptive Cruise Control ◽

Vehicle To Vehicle Communication

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Vehicle-to-vehicle based multi-objective coordinated adaptive cruise control considering platoon stability

Advances in Mechanical Engineering ◽

10.1177/1687814018802719 ◽

2018 ◽

Vol 10 (10) ◽

pp. 168781401880271

Author(s):

Junhui Zhang ◽

Qing Li ◽

Dapeng Chen

Keyword(s):

Traffic Safety ◽

Control Algorithm ◽

Adaptive Cruise Control ◽

Time Lags ◽

Cruise Control ◽

Multi Objective ◽

Vehicle Communication ◽

Cooperative Driving ◽

Vehicle To Vehicle ◽

Road Capacity

Currently, there is a widespread concern over cooperative driving based on vehicle-to-vehicle communication due to its considerable potential to improve the increased traffic safety, efficiency, costs, and intellectualization. In this article, a multi-objective coordinated adaptive cruise control algorithm for a string of adaptive cruise control–equipped vehicles is thus proposed, which can comprehensively address issues regarding homogeneous/heterogeneous features, road capacity, in addition to driver desired response. The practical platoon stability of adaptive cruise control–equipped vehicles employing constant time headway spacing policy is investigated by taking into account the parasitic time delays of wireless communication modules and time lags of automotive actuators. The simulations show that the control algorithm utilizing model predictive control framework reaps significant benefits in terms of driver desired response, platoon stability as well as road capacity, while at the same time providing a reasonable proposal on the design of adaptive cruise control controller with better adaptability from the perspective of practical platoon stability.

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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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