Early Warning System Research Based on Recognizing the Constraint in Road Traffic Safety

Author(s):  
Shi Li-ping
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yongqing Guo ◽  
Xiaoyuan Wang ◽  
Qing Xu ◽  
Quan Yuan ◽  
Chenglin Bai ◽  
...  

Anxiety is a complex emotion characterized by an unpleasant feeling of tension when people anticipate a threat or negative consequence. It is regarded as a comprehensive reflection of human thought processes, physiological arousal, and external stimuli. The actual state of emotion can be represented objectively by human physiological signals. This study aims to analyze the differences of ECG (electrocardiogram) characteristics for various types of drivers under anxiety. We used several methods to induce drivers’ mood states (calm and anxiety) and then conducted the real and virtual driving experiments to collect driver’s ECG signal data. Physiological changes in ECG during the experiments were recorded using the PSYLAB software. The independent sample t-test analysis was conducted to determine if there are significant differences in ECG characteristics for different types of drivers in anxious state during driving. The results show that there are significant differences in ECG signal characteristics of drivers by gender, age, and driving experience, in time domain, frequency domain, and waveform under anxiety. Our findings of this study contribute to the development of more intelligent and personalized driver warning system, which could improve road traffic safety.


Author(s):  
Husam Muslim ◽  
Makoto Itoh

In order to improve road traffic safety, increasingly sophisticated and robust collision avoidance systems are being developed. When employed in safety-critical situations, however, the interaction between the human factors and these systems may increase the complexity of the task of driving. Due to these human factors, the ability of the driver to respond to various traffic dangers is considered to be a function of the level of automation, balance of control authority, and the innate ability of the driver. For the purpose of this study, a driving experiment was designed using two types of lane change collision avoidance systems. One was a haptic warning system that provides a steering force feedback to avoid hazardous lane change, and the other, a semi-autonomous system that provides an automatic action to prevent hazardous lane change. While drivers had the final authority over the haptic system, they were unable to override the automatic action. Both systems were examined in three conditions: i) hazard that can be detected only by the system, ii) hazard that can be detected only by the driver, and iii) combined hazards. The different support systems were applied to the different hazards resulting in significant differences in drivers’ reaction time and steering behavior. The drivers’ subjective post-hazard assessments were significantly affected by the type of encountered hazard.


2011 ◽  
Vol 368-373 ◽  
pp. 3320-3323
Author(s):  
Jun Long Peng ◽  
Da Wang

Traffic safety dynamic trend pre-warning could effectively strengthenmonitoring strength of traffic management department, reduce the number of trafficaccident and ensure highway transportation orderly and smooth. This article analysestrend pre-warning system of traffic safety from the highway operation managementangle. Based on the above analysis, the trend dynamic pre-warning system composition and the information processing method are advanced. The processingmethods in according to the characteristics of road traffic safety, from trend impactsof traffic safety evaluation indicators use six indicators to reflect all aspects ofsecurity potential crises, such as average speed, traffic flow size, etc.


2020 ◽  
Author(s):  
Sizhuo Wang ◽  
Wei Li ◽  
Chunyu Kong

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.


2021 ◽  
Vol 171 ◽  
pp. 140-147
Author(s):  
Yujia Tian ◽  
Dianliang Xiao ◽  
Lu Wang ◽  
Hong Chen

2021 ◽  
Vol 2083 (2) ◽  
pp. 022025
Author(s):  
Yu Liu ◽  
Xinzheng Wang ◽  
Huiling Zheng

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.


2019 ◽  
Vol 3 (5) ◽  
Author(s):  
Jianwu He

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.


2011 ◽  
Vol 243-249 ◽  
pp. 5408-5412
Author(s):  
Lei Zhang ◽  
Ning Zhang ◽  
Xiao Chun Zhang ◽  
Wei Nong Li

In China, many highways were built near high mountains where landslide often happened and threatened the traffic safety. Slope monitoring is key issue that could reduce long-term losses and ensure traffic safety on the highways. In this paper, based on the research project sponsored by government, the slope stability monitoring plan was discussed. On the basis of investigation of the art of state methods, synthetic monitoring system was chosen for the landslide early-warning system of national highway 104. It comprised of Time Difference on Arrival monitoring method on the roadside surface as well as inside the underground methods such as borehole inclinometers, piezometers and the earth pressure cells. Then Time Difference on Arrival methodology was focused on, and the location error was analyzed in detail. According to, the theoretic analysis and practical consideration, the optimized arrangement plan of Time Difference on Arrival transducers was proposed. The sketch of all kinds of sensors for the whole system was provided as well, which will ensure the installation of the early-warning system.


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