scholarly journals A Distribution Method of High Precise Differential Corrections for a Network Beidou/RTK System Based on Vehicular Networks

2015 ◽  
Vol 15 (5) ◽  
pp. 140-150
Author(s):  
Jian Liu ◽  
Hongjiang Zheng ◽  
Wei Chen ◽  
Huiheng Liu

Abstract In recent years urban traffic safety has become a widely concerned issue due to the increasing traffic accidents caused by the growth of private car ownership. A very promising method is to provide high precision navigation service to prevent accidents. Therefore, a Network BDS/RTK System Based on Vehicular Networks (NBRSBVNs) is proposed for high precision positioning in an urban complex traffic environment in this paper. This system considers comprehensively the characteristics of the vehicular network and network RTK techniques, and also provides a new distribution method of high precision differential correction information. According to the massive field tests, this system scheme can support real-time and online high precision navigation service of multiple users at the same time. It has important practical significance in applications for vehicles active safety in a complex urban environment.

2019 ◽  
Vol 275 ◽  
pp. 04002
Author(s):  
Zheng Binshuang ◽  
Chen Jiaying ◽  
Zhao Runmin ◽  
Huang Xiaoming

As the main operationality of AVs, the braking property is directly related to traffic safety. Major traffic accidents are often related to the braking distance, the side slip and hydroplaning during the emergency braking, which depends on the pavement skid resistance. Therefore, the estimation to relate AVs braking distance requirements with pavement peak friction coefficient to ensure a safe driving condition on expressway is of high practical significance. In this paper, the effect of AVs on braking performance parameters and dynamic friction on tire-pavement interaction are investigated. Based on the field test of the Coastal highway in Jiangsu province of China, this paper proposes an algorithm to determine time-dependent braking distance of AVs considering pavement frictional properties. According to the algorithm, an AVs braking system is provided to reach the maximum braking force for improving the AVs traffic safety. Furthermore, it revises the braking distance formula of Design Specification for Highway Alignment and the skid resistance threshold adopted by Technical Specifications for Maintenance of Highway Asphalt Pavement.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xin Yang ◽  
Juncheng Chen ◽  
Mantun Yan ◽  
Zhao He ◽  
Ziyan Qin ◽  
...  

In recent years, urban traffic congestion has become more serious and the capacity of roads has declined, resulting in frequent traffic accidents. In order to effectively alleviate the traffic congestion of the regional road network, aiming at the problem of lack of accurate OD data of the road network, a regional boundary control method of the traffic network based on fuzzy RBF neural network PID (FR-PID) is proposed by combining the theory of macroscopic fundamental diagram (MFD). Firstly, based on the traffic survey, the simulation model of the study area is built, and the basic data such as the traffic flow and the time occupation rate of each road section are obtained. Secondly, the simulation data are used to test the existence of MFD in the road network, and the controlled area is defined. Then, the vehicle change model of the road network area is established. Then, in view of the problem of poor adaptive ability of traditional PID control, the FR-PID control structure is designed. Finally, an example is verified by VISSIM software. In the simulation, different control methods are used for comparison and verification, and the simulation results are analyzed. The results show that the control effect of the proposed method is better than that of the traditional method, and the regional average accumulative vehicle number, regional average completed volume, regional accumulative delays, and total vehicle travel time are optimized by 28.21%, 41.19%, 27.06%, and 32.73%, respectively. The research results can provide reference for the management of urban congestion, thereby reducing the number of traffic accidents and improving urban traffic safety.


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.


2018 ◽  
Vol 47 (4) ◽  
pp. 318-328 ◽  
Author(s):  
Ziyue Tang

Based on the traffic accidents statistical data of 10 typical freeways in mainland China, by using of some kinds of regression model, the influences of the average vehicle speed and the speed standard deviation on the traffic safety are studied. According to the regression results, the accidents show an increasing trend with the increase of the vehicle average speed and the speed standard deviation. On this basis, in view of the regression results, the strategy is put forward for controlling the vehicle average speed and the speed standard deviation, which has important theoretical and practical significance for improving highway safety. After a comprehensive comparison among these regression methods, it is found that the nonlinear regression method of user-defined model expression has the best fitting effect, and it can also more accurately describe the objective reality. It has high practicality and popularized value.


2020 ◽  
Vol 3 (1) ◽  
pp. 36-42
Author(s):  
Arif Ahmad ◽  
Khandaker Hossain ◽  
Mallik Hossain

The issue of traffic safety becomes increasingly prominent and has attracted widespread attention from researchers and policy makers. Dhaka, the capital of Bangladesh, is the most vulnerable city both in terms of total number of accidents and accident rates. GIS technology has been widely applied to urban traffic information and safety management. This paper presents a geospatial analysis to identify the road traffic accident (RTA) hotspot zones in Dhaka Metropolitan Area (DMA). ‘Spatial analysis’ and ‘spatial statistics tools’ are used to examine spatial patterns of accident data. A systematic comparison of identified hotspot zones using Local Moran’s-I Statistic, Getis-Ord Gi* statistic and Kernel Density Estimation (KDE) carried out to examine spatial patterns of high cluster of traffic accidents. These analyses revealed a total 22 hotspot zones in DMA during the years 2010-2012. This kind of research would help generating new parameters for reducing road traffic accidents in Dhaka Metropolitan Area.


Trudy NAMI ◽  
2021 ◽  
pp. 15-24
Author(s):  
G. O. Kotiev ◽  
A. V. Petyukov ◽  
A. V. Gonsales Astua

Introduction (problem statement and relevance). The airbag belongs to the passive vehicle safety system (SRS - Supplementary Restraint System) and is the most important (together with the seat belt) restraint system that protects the driver and passengers in a collision with static or moving objects. The main task of the SRS is to minimize injuries to the driver and passengers and reduce deaths in various road traffic accidents. For the development and testing of modern high-tech airbag modules, it is necessary to have informative theoretical and experimental methods for studying the non-stationary processes of their functioning.The purpose of the study was to develop an experimental-theoretical research method based on modern highly informative tools of experimental physics of fast processes and numerical methods for continuous media dynamics.Methodology and research methods. To study the functioning dynamics of vehicle airbag modules, an experimental method for determining the kinematic and acoustic parameters has been developed and implemented, and a mathematical model of an airbag functioning process has been formulated and implemented in the LS-DYNA environment with the help of corpuscular particles method.Scientific novelty and results. The created experimental-theoretical method allowed both to simulate the functioning processes of the developed and tested airbag modules, and to carry out field tests of these modules. In addition, the experiment made it possible to carry out a detailed verification of the numerical method for calculating the airbag operation, on the basis of which it was also possible to perform numerical calculations interaction of the airbag and an anthropometric dummy model.Practical significance. The developed method for studying the processes of airbag modules functioning is an important and necessary component of creating a scientific, technical and experimental base for the development and production of passive safety systems.


2021 ◽  
Vol 13 (8) ◽  
pp. 4293
Author(s):  
Yuqing Lin ◽  
Jingjing Wu ◽  
Yongqing Xiong

With the background of China’s new energy vehicles (NEVs) subsidies declining, there is an important practical significance to effectively play the role of the nonsubsidized consumption promotion mechanisms. The nonsubsidized mechanisms for NEVs are classified into two types—concept induction and policy incentives, and differences in the sensitivity of the two types of mechanisms on potential consumer purchase intentions due to differences in urban traffic patterns and consumer education levels are analyzed. The results show that consumers in cities with medium to high traffic pressure are more sensitive to the right-of-way privileges component of the policy incentives, and consumers in cities with low traffic pressure are more sensitive to the charging guarantee component of the policy incentives. Consumers with medium to high education are more sensitive to the pro-environmental component in concept induction, and consumers with low education are more sensitive to the charging guarantee policy component of the policy incentives. Therefore, the implementation of the nonsubsidized mechanisms for NEVs in China should adopt differentiated strategies based on local conditions and vary with each individual.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lei Lin ◽  
Feng Shi ◽  
Weizi Li

AbstractCOVID-19 has affected every sector of our society, among which human mobility is taking a dramatic change due to quarantine and social distancing. We investigate the impact of the pandemic and subsequent mobility changes on road traffic safety. Using traffic accident data from the city of Los Angeles and New York City, we find that the impact is not merely a blunt reduction in traffic and accidents; rather, (1) the proportion of accidents unexpectedly increases for “Hispanic” and “Male” groups; (2) the “hot spots” of accidents have shifted in both time and space and are likely moved from higher-income areas (e.g., Hollywood and Lower Manhattan) to lower-income areas (e.g., southern LA and southern Brooklyn); (3) the severity level of accidents decreases with the number of accidents regardless of transportation modes. Understanding those variations of traffic accidents not only sheds a light on the heterogeneous impact of COVID-19 across demographic and geographic factors, but also helps policymakers and planners design more effective safety policies and interventions during critical conditions such as the pandemic.


Author(s):  
Manuel Fogue ◽  
Piedad Garrido ◽  
Francisco J. Martinez ◽  
Juan-Carlos Cano ◽  
Carlos T. Calafate ◽  
...  

2015 ◽  
Vol 29 (25) ◽  
pp. 1550148 ◽  
Author(s):  
Jing Shi ◽  
Jin-Hua Tan

Heavy fog weather can increase traffic accidents and lead to freeway closures which result in delays. This paper aims at exploring traffic accident and emission characteristics in heavy fog, as well as freeway intermittent release measures for heavy fog weather. A driving simulator experiment is conducted for obtaining driving behaviors in heavy fog. By proposing a multi-cell cellular automaton (CA) model based on the experimental data, the role of intermittent release measures on the reduction of traffic accidents and CO emissions is studied. The results show that, affected by heavy fog, when cellular occupancy [Formula: see text], the probability of traffic accidents is much higher; and CO emissions increase significantly when [Formula: see text]. After an intermittent release measure is applied, the probability of traffic accidents and level of CO emissions become reasonable. Obviously, the measure can enhance traffic safety and reduce emissions.


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