scholarly journals Research on Intelligent Vehicle Collision Warning Model Based on Intervehicle Communication

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jiangfeng Wang ◽  
Xuedong Yan ◽  
Shuo Nie ◽  
Xiaomeng Li
Keyword(s):  
Cruise Control ◽  
Collision Warning ◽  
Experiment System ◽  
Time To Collision ◽  
Vehicle Communication ◽  
Model Based ◽  
Vehicle Collision ◽  
System Composition ◽  
System Experiment ◽  
Warning Model

Using inter-vehicle communication, vehicle real-time traveling state information, such as acceleration, is shared, and time-to-collision and time-to-avoidance matrices are established. Considering driver type and traveling relationship between leading vehicle and following vehicle, a collision warning model based on inter-vehicle communication is studied. From aspects of inter-vehicle experiment system composition, component modules are analyzed in detail. For leading vehicle stationary, sudden deceleration, and normal traveling, three experimental schemes are proposed, and model warning performance is verified using the experiment system. Experiment results show that the algorithm model can effectively identify the collision, and precise warning rate is more than 90%. Conclusion of the study can provide a reference for research in relevant fields, such as vehicle adaptive cruise control.

Findings on the Approach Process Between Vehicles: Implications for Collision Warning

2000 ◽  
Vol 1724 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Mark A. Brackstone ◽  
Beshr Sultan ◽  
Michael McDonald
Keyword(s):  
Cruise Control ◽  
Collision Warning ◽  
Time To Collision ◽  
Car Following ◽  
Brief Assessment ◽  
Road Design ◽  
Equal Importance ◽  
Instrumented Vehicle ◽  
Transport Telematics ◽  
Few Data

Over the past 10 years there has been a growing body of research into modeling and describing driving behavior, particularly for situations that occur on motorways. This interest has arisen from the need to assess safety and capacity benefits that could be produced by changes to road design, operation, signage, and in-vehicle advanced transport telematics, such as collision warning (CW) or autonomous cruise control. For the most part these investigations have focused on “close” or “car” following, which describes the maintenance of a time- or distance-based following headway. However, often overlooked, and of equal importance, is the “approach” process, describing how a driver decelerates when approaching a slower vehicle. There are several competing theories of the behavioral basis underlying this process, including, for example, those based on time-to-collision or optic flow. There are, however, very few data against which such models can be assessed and systems designed. Presented are the results from an exploratory, instrumented vehicle study designed to assess approach mechanisms. The two key features of the process are explored: the circumstances under which driver deceleration is instigated, and the process governing the control of the deceleration itself. Finally, there is a brief assessment of the implications of these findings for the design of CW systems, in which realistic warnings may prove vital to their acceptance by the driving public.

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.

Driver Performance in a Cooperative Adaptive Cruise Control String

2016 ◽  
Vol 60 (1) ◽  
pp. 1184-1188 ◽  
Author(s):  
Vaughan W. Inman ◽  
Steven Jackson ◽  
Brian H. Philips
Keyword(s):  
Adaptive Cruise Control ◽  
Driving Simulator ◽  
Cruise Control ◽  
Highway Capacity ◽  
Time To Collision ◽  
Driver Performance ◽  
Cooperative Adaptive Cruise Control ◽  
Safety Benefit ◽  
Crash Reduction ◽  
Mean Time

Cooperative Adaptive Cruise Control (CACC) has been proposed as a method to increase highway capacity and possibly enhance safety. Two experiments were conducted in a driving simulator to verify that drivers with CACC would effectively monitor the system’s longitudinal control and override the system in the event that greater braking authority was needed than the system was designed to provide. In the first experiment, the emergency response of drivers with the CACC was compared with that of drivers who manually controlled following distance within a string of vehicles. The CACC group experienced markedly fewer crashes and had longer mean time-to-collision. The second experiment examined whether the CACC safety benefit was the result of the CACC system’s limited automatic braking authority, an auditory alarm, or both. The results suggest that both auto-braking and an auditory alarm are necessary to achieve a crash reduction benefit, although the alarm alone may promote less severe collisions.

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