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.

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 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.

scholarly journals Development and evaluation of a novel Vital Signs Alert device for use in pregnancy in low-resource settings

2018 ◽  
Vol 4 (4) ◽  
pp. 192-198 ◽  
Author(s):  
Hannah L Nathan ◽  
Nicola Vousden ◽  
Elodie Lawley ◽  
Annemarie de Greeff ◽  
Natasha L Hezelgrave ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Early Warning ◽  
Early Warning System ◽  
Healthcare Providers ◽  
Vital Signs ◽  
Warning System ◽  
Evidence Based ◽  
Traffic Light ◽  
Low Resource Settings ◽  
In Pregnancy

ObjectivesHaemorrhage, hypertension, sepsis and abortion complications (often from haemorrhage or sepsis) contribute to 60% of all maternal deaths. Each is associated with vital signs (blood pressure (BP) and pulse) abnormalities, and the majority of deaths are preventable through simple and timely intervention. This paper presents the development and evaluation of the CRADLE Vital Signs Alert (VSA), an accurate, low-cost and easy-to-use device measuring BP and pulse with an integrated traffic light early warning system. The VSA was designed to be used by all cadres of healthcare providers for pregnant women in low-resource settings with the aim to prevent avoidable maternal mortality and morbidity.MethodsThe development and the mixed-methods clinical evaluation of the VSA are described.ResultsPreliminary fieldwork identified that introduction of BP devices to rural clinics improved antenatal surveillance of BP in pregnant women. The aesthetics of the integrated traffic light system were developed through iterative qualitative evaluation. The traffic lights trigger according to evidence-based vital sign thresholds in hypertension and haemodynamic compromise from haemorrhage and sepsis. The VSA can be reliably used as an auscultatory device, as well as its primary semiautomated function, and is suitable as a self-monitor used by pregnant women.ConclusionThe VSA is an accurate device incorporating an evidence-based traffic light early warning system. It is designed to ensure suitability for healthcare providers with limited training and may improve care for women in pregnancy, childbirth and in the postnatal period.

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.

Expressway traffic safety early warning system based on cloud architecture

2021 ◽  
Vol 171 ◽  
pp. 140-147
Author(s):  
Yujia Tian ◽  
Dianliang Xiao ◽  
Lu Wang ◽  
Hong Chen
Keyword(s):  
Traffic Safety ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Cloud Architecture

Research on Information Fusion Method to Improve the Measurement Precision of High Speed Vehicles Anti-Collision Distance

2014 ◽  
Vol 1046 ◽  
pp. 236-240
Author(s):  
Jiang Chun Xu ◽  
Sheng Wang Huang ◽  
Yan Chen ◽  
Yun Wei Zhang ◽  
Jin Hui Lei
Keyword(s):  
High Speed ◽  
Distance Estimation ◽  
Warning System ◽  
State Equation ◽  
Precision Data ◽  
Collision Warning ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Vehicle To Vehicle Communication ◽  
Internet Of Things Technology

With the continuous development of the Internet of things technology, the high-speed vehicles to prevent rear-end collision warning system which is from the traditional passive to the current vehicle-to-vehicle communication active warning also continues to develop. In this paper, a vehicle ranging system is composed of Zigbee wireless communication and GPS positioning system. Through setting maneuvering model, establishing ranging system state equation and observation equation, error model, integrating the two vehicles’ distance, relative velocity, relative acceleration and the distance error, we can get the vehicle distance estimation by using of centralized Kalman filter techniques. The simulation results show that the method can provide vehicle-to-vehicle communication ranging system with the high precision data of anti-collision distance. The system has good tracking performance.

scholarly journals Study on Construction of Tourism Security Early Warning System in Tourist Destinations - Take Yangshuo, China as an Example

2019 ◽  
Vol 3 (5) ◽  
Author(s):  
Jianwu He
Keyword(s):  
Traffic Safety ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Guidance System ◽  
Tourist Destination ◽  
Tourist Destinations ◽  
Passenger Flow ◽  
Tourism Destinations ◽  
Generation Information

Tourism security is the necessary foundation for sustainable development of tourism destinations. The application of next-generation information technology for early warning of tourism safety can achieve the management goals of tourism destinations such as accuracy, economy, and rapid response. The tourist destination safety early warning system mainly consists of video surveillance-based passenger flow assessment, traffic safety early warning system, emergency intelligent guidance system and intelligent rescue simulation system.

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