Anti-Rear-End Collision Warning System Based-on Zigbee for Highway Vehicle

2011 ◽  
Vol 130-134 ◽  
pp. 3511-3514
Author(s):  
Wen Jun Li ◽  
Kui Feng ◽  
Hong Kun Zhang
Keyword(s):  
Traffic Safety ◽  
Early Warning ◽  
Traffic Accidents ◽  
Warning System ◽  
Traffic Information ◽  
Vehicle Speed ◽  
Safe Distance ◽  
Collision Warning ◽  
Distance Model ◽  
Pretreatment Time

The majority of traffic accidents on the highway is rear-end collision. According to statistics about ninety percent rear-end collision can be avoided if there is 1 second pretreatment time for drivers. So it is necessary to develop automotive rear-end collision warning system to prevent the occurrence of accidents. The anti-rear-end collision warning system based on Zigbee technology is designded in this paper. Vehicle speed, acceleration and other traffic information among the nodes can be exchanged on real-time by using self-organizing wireless sensor networks consisted by Zigbee network nodes. A vehicle safe distance model is established after considered the effects of other traffic safety factors, and then, the actual distance measured by radar is compared with the safe distance so as to provide early warning, alarm and other driving information to drivers. The experiment results show that the system can effectively provide early warning, avoid rear-end collision, and improve active safety of vehicles.

scholarly journals 5G-V2X Based Traffic Safety Warning System through Mobile Sensor and Wireless Communication

2021 ◽  
Vol 2083 (2) ◽  
pp. 022025
Author(s):  
Yu Liu ◽  
Xinzheng Wang ◽  
Huiling Zheng
Keyword(s):  
Traffic Safety ◽  
Early Warning ◽  
Early Warning System ◽  
Traffic Accidents ◽  
Warning System ◽  
Traffic Light ◽  
Collision Warning ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Risk Warning

Abstract This project designs a traffic safety early warning system based on 5G-V2X for the current situation of increasing traffic accidents in China, which concentrates on two modules of V2V (vehicle-to-vehicle), V2I (vehicle-to-road) for early warning system design, with OBU (vehicle communication unit) and RSU (roadside communication unit) based on 5G-V2X communication technology to establish vehicle-to-vehicle and vehicle-to-road interactive communication, and realize V2V collision warning and V2I traffic light emergency event warning at intersections through collision risk warning algorithm and intersection passage assistance algorithm, thus alerting drivers to avoid dangerous situations and reducing the incidence of traffic accidents.

scholarly journals Research on Safety Lane Change Warning Method Based on Potential Angle Collision Point

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Tongqiang Ding ◽  
Xiaorong Li ◽  
Lili Zheng ◽  
Zhiguo Hao
Keyword(s):  
Early Warning ◽  
Traffic Accidents ◽  
Warning System ◽  
Warning Signal ◽  
Video Data ◽  
Active Safety ◽  
Lane Change ◽  
Actual Distance ◽  
Safety Distance ◽  
Distance Model

In order to ensure safe lane change and avoid traffic accidents, an effective lane change assist system is required. In a lane change assist system, it is very important to obtain the following elements in time, such as actual distance between vehicles, minimum safety distance, and warning signal. To this end, this paper analyzed four kinds of lane change angle collision scenes. Initial position, initial velocity, acceleration, heading angle, and kinematics of vehicles were used to calculate the position of potential angle collision points between lane change vehicle and obstacle vehicles. Then, actual distance model was constructed based on potential angular collision points. The minimum safety distance model was also established under the two most unfavorable conditions. In order to achieve the lane change warning, three early warning rules were formulated. We verified the validity of models and early warning rules using vehicle driving video data of Interstate 80 in California. Models and early warning rules constructed in our research can be applied to the advanced active safety systems of vehicle, such as vehicle lane change assist system and active collision early warning system, which can improve the active safety and reduce traffic accidents.

Research on Application of Internet of Things on Intelligent Traffic Safety early Warning

2012 ◽  
Vol 263-266 ◽  
pp. 2890-2894
Author(s):  
Ru Xia Hong
Keyword(s):  
Internet Of Things ◽  
Traffic Safety ◽  
Early Warning ◽  
Traffic Accidents ◽  
Simulation Analysis ◽  
Warning System ◽  
Early Warning Systems ◽  
Calculation Model ◽  
Warning Systems ◽  
Research On Application

In order to avoid potential traffic dangers, as well as to prevent the occurrence of traffic accidents, this paper manages to build a traffic safety early warning system by using Technology of Internet of Things. First, this paper has a general review of related researches. Then, it analyzes basic structures of intelligent traffic safety early warning systems based on Technology of Internet of Things, and establishes data collection and calculation model for traffic flow, following with analysis of traffic safety early warning and responding technologies. Finally, this paper conducts a simulation analysis, the results of which indicate that the said method proposed by this paper has a better robustness.

Analysis of Rear-End Collision Accident of Urban Traffic Based on Safety Pre-Warning Algorithm

2020 ◽  
Author(s):  
Sizhuo Wang ◽  
Wei Li ◽  
Chunyu Kong
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Warning System ◽  
Urban Traffic ◽  
Effective Response ◽  
Collision Warning ◽  
Road Traffic Safety ◽  
Vehicle Collision ◽  
Property Losses

Abstract With the increase of per capita car ownership, traffic accidents frequently occur, in which rear-end collision accounts for 30% to 40% of the total accidents; thus, rear-end collision has become the primary factor of traffic environment deterioration. Therefore, how to improve road traffic safety and reduce the probability of rear-end collision has become a major social concern. In this study, based on the safety pre-warning algorithm, a vehicle collision model was built, and a vehicle anti-collision warning system was established. The calculation was performed based on the sample data to obtain the prediction value of vehicle collision time under different driving speeds, so as to provide drivers with effective response time and reduce the casualties and property losses caused by a vehicle collision. The experimental results showed that the accuracy rate of the pre-warning reached 80% when the speed was regarded as a variable, and the simulation results showed that the early pre-warning or delayed pre-warning rate was very low, and the timeliness rate reached 89%, which enables drivers to react quickly in the appropriate time and effectively reduces the risk of vehicle rear-end collision.

scholarly journals Development of an early warning system for loose automobile tires

2020 ◽  
Vol 103 (3) ◽  
pp. 003685042094088
Author(s):  
Huibo Wu ◽  
Fei Song ◽  
Kainan Wu ◽  
Cheng Chen ◽  
Xiaohua Wang
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Traffic Accidents ◽  
Warning System ◽  
Working Environment ◽  
Vehicle Body ◽  
Economic Losses ◽  
Control Module ◽  
Alarm Signal ◽  
Monitoring Module

The looseness of tires or even falling off from cars will lead to serious traffic accidents. Once it occurs, it will bring casualties and huge economic losses to society, seriously affecting the traffic safety. To mitigate such possible safety concerns, an early loosening warning system is developed in this article. The system consists of the tire monitoring module and the working control module. The tire monitoring module is installed on the tire and is designed with no power supply. The control module is installed in the vehicle body. Signal transmission between the two modules is achieved through wireless radio frequency. In the driving, once the tire is loosened, the monitoring device will send out the alarm signal automatically and wirelessly. After the driver gets the alarm signal, he can immediately perform the emergency processing, parking, and inspection, which can avoid traffic accidents caused by it. This article introduces the detailed structure, working principle, and operation process of the system. This early warning system has simple structure, high reliability, and is easy to use. It can be used in the common working environment of automobiles. Meanwhile, it is also the foundation of intelligent connected vehicle.

Research on Safety Vehicle Distance Recognition Based on Stereo Vision and DSP

2013 ◽  
Vol 333-335 ◽  
pp. 805-810 ◽  
Author(s):  
Rong Bao Chen ◽  
Ning Li ◽  
Hua Feng Xiao ◽  
Wei Hou
Keyword(s):  
Stereo Vision ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Intelligent Transportation ◽  
Research Area ◽  
Measurement Range ◽  
Vehicle Speed ◽  
Target Vehicle ◽  
Operation Rate ◽  
The Right

With the development of economy, there are an increasing number of cars as well as traffic accidents, thus intensifying the need to take measures to reduce traffic accidents and protect the safety of life and property. Vehicle distance is one of the most important indexes of traffic safety. The measurement of safety vehicle distance has become an increasingly hot research area of intelligent transportation. Through analyzing the basic principle of stereo vision and calibrating the parameters of the CCD sensors both inside and outside, this paper comes up with a method to measure the former vehicle distance based on stereo vision and DSP. Once the vehicle speed and distance form a non-security association, it will give a warning, and upload data or force speed-limiting. According to the different coordinates of the obtained images of the target vehicle from the left and the right sensor, this method can identify feature points, calculate distance to the target vehicle, and analyze the security of vehicle distance. The experimental results show that this method has wide measurement range, high measurement accuracy, and fast operation rate, thus it can meet the actual needs of the measurement of safe vehicle distance in intelligent transportation.

scholarly journals A Novel Fatigue Driving State Recognition and Warning Method Based on EEG and EOG Signals

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Li Liu ◽  
Yunfeng Ji ◽  
Yun Gao ◽  
Zhenyu Ping ◽  
Liang Kuang ◽  
...  
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Traffic Accidents ◽  
Recognition Accuracy ◽  
Recognition Performance ◽  
Warning System ◽  
Support Vector ◽  
Eyelid Closure ◽  
Recognition Result ◽  
Fatigue Driving

Traffic accidents are easily caused by tired driving. If the fatigue state of the driver can be identified in time and a corresponding early warning can be provided, then the occurrence of traffic accidents could be avoided to a large extent. At present, the recognition of fatigue driving states is mostly based on recognition accuracy. Fatigue state is currently recognized by combining different features, such as facial expressions, electroencephalogram (EEG) signals, yawning, and the percentage of eyelid closure over the pupil over time (PERCLoS). The combination of these features increases the recognition time and lacks real-time performance. In addition, some features will increase error in the recognition result, such as yawning frequently with the onset of a cold or frequent blinking with dry eyes. On the premise of ensuring the recognition accuracy and improving the realistic feasibility and real-time recognition performance of fatigue driving states, a fast support vector machine (FSVM) algorithm based on EEGs and electrooculograms (EOGs) is proposed to recognize fatigue driving states. First, the collected EEG and EOG modal data are preprocessed. Second, multiple features are extracted from the preprocessed EEGs and EOGs. Finally, FSVM is used to classify and recognize the data features to obtain the recognition result of the fatigue state. Based on the recognition results, this paper designs a fatigue driving early warning system based on Internet of Things (IoT) technology. When the driver shows symptoms of fatigue, the system not only sends a warning signal to the driver but also informs other nearby vehicles using this system through IoT technology and manages the operation background.

Research on Evasion Control of Vehicle Anti-Collision Warning System

2013 ◽  
Vol 365-366 ◽  
pp. 407-411
Author(s):  
Jian Hua Wang ◽  
Yun Cheng Wang ◽  
Hai Feng Ding ◽  
Fei Xie
Keyword(s):  
Control Strategy ◽  
Warning System ◽  
Critical Distance ◽  
Control Flow ◽  
Collision Warning ◽  
Safety Distance ◽  
Evasion Control ◽  
Distance Model ◽  
Working Principle ◽  
Lock In

This paper put forward a kind of vehicle anti-collision warning system and put the emphasis on the research of active control. It introduced the function and composition of the system and expounded its working principle. First the safety distance model was studied based on the vehicle kinetic theory. This model contained longitudinal and lateral safety distance model. And the longitudinal safety distance model can be further divided into Safety Critical distance, Lock-in Target distance, Danger Critical distance and Limited Critical distance. Then the dangerous targets were identified and classified based on safety distance model .Finally, according to different targets, the corresponding evasion control strategy and the control flow chart were established.

Development of Warning System and Driving Model for Overtaking Trucks on Two-Lane Highways

2019 ◽  
Vol 2673 (11) ◽  
pp. 1-12 ◽  
Author(s):  
Udai Hassein ◽  
Maksym Diachuk ◽  
Said Easa
Keyword(s):  
Traffic Safety ◽  
Human Error ◽  
Driving Simulator ◽  
Real Life ◽  
Warning System ◽  
Steering Control ◽  
Collision Warning ◽  
Radar Sensors ◽  
Sight Distance ◽  
The Impact

Passing collisions are one of the most serious traffic safety problems on two-lane highways. These collisions occur when a driver overestimates the available sight distance. This paper presents a framework for a passing collision warning system (PCWS) that assists drivers in avoiding passing collisions by reducing the likelihood of human error. The system uses a combination of a camera and radar sensors to identify the impeding vehicle type and to detect the opposing vehicles traveling in the left lane. The study involved the development of a steering control model providing lane-change maneuvers, the design of a driving simulator experiment that allows for the collection of data necessary to estimate passing parameters, and the elaboration of the algorithm for the PCWS based on sensor signals to detect impeding vehicles such as trucks. Simulation tests were carried out to confirm the effectiveness of the proposed PCWS algorithm. The impact of driver behavior on passing maneuvers was also investigated. Mathematical and imitation models were enhanced to implement Simulink for replications of real-life driving scenarios. The different factors that affect system accuracy were also examined.

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