scholarly journals Key points of investigation and analysis on traffic accidents involving intelligent vehicles

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Quan Yuan ◽  
Yong Peng ◽  
Xiaodong Xu ◽  
Xinghua Wang
Keyword(s):  
Automobile Industry ◽  
Road Traffic ◽  
Intelligent Vehicles ◽  
Intelligent Vehicle ◽  
Accident Investigation ◽  
Traffic System ◽  
Vehicle Accidents ◽  
The Road ◽  
Vehicle Accident ◽  
Key Points

Abstract Intellectualization is regarded as the future mainstream development trend of the automobile industry. The automation level of intelligent vehicles is relatively low so far, and the road traffic system will be in a mixed state of non-autonomous vehicles and vehicles with different levels of automation for a long time. Therefore, the road traffic system will be more complex with more diverse accidents. This paper analysed the characteristics and causal factors of intelligent vehicle accidents. Based on the problems existing in investigation, analysis and liability identification of intelligent vehicle accident, the study proposed a preliminary accident investigation framework and method, summarized the key points of accident analysis from the perspectives of technical defects, information security and passive safety, and specified the liability subjects for intelligent vehicle accidents and their corresponding legal liability. The results from this study contributed to the development of intelligent vehicle accident investigation and disposal, and provided the reference for the improvement of vehicle safety and accident prevention.

Rural Community Planning Research - Taking PingQuan County YangShuLing Town SanZuoDian Community Planning as an Example

2013 ◽  
Vol 357-360 ◽  
pp. 1657-1662
Author(s):  
Yan Fen Zhong ◽  
Huan Qi
Keyword(s):  
Rural Community ◽  
Planning Process ◽  
Road Traffic ◽  
Landscape Planning ◽  
Community Planning ◽  
Traffic System ◽  
The Road ◽  
Starting Point ◽  
Full Analysis ◽  
Planning And Construction

Based on the PingQuan County YangShuLing Town SanZuoDian community planning as an example, in the new rural construction planning process, this text discusses planning and construction of the rural community. Based on the specific projects as the starting point, with regional characteristics as the guidance, after a full analysis of characteristic of the project, from the aspect of land layout planning, the road traffic system planning, landscape planning, the text detailed description of the rural community planning.

scholarly journals A Novel Framework for Road Traffic Risk Assessment with HMM-Based Prediction Model

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4313 ◽  
Author(s):  
Xunjia Zheng ◽  
Di Zhang ◽  
Hongbo Gao ◽  
Zhiguo Zhao ◽  
Heye Huang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Road Traffic ◽  
Research Effort ◽  
Assessment Method ◽  
Intelligent Vehicles ◽  
Steering Angle ◽  
The Road ◽  
Risk Assessment Method ◽  
Significant Research ◽  
Assessment Strategies

Over the past decades, there has been significant research effort dedicated to the development of intelligent vehicles and V2X systems. This paper proposes a road traffic risk assessment method for road traffic accident prevention of intelligent vehicles. This method is based on HMM (Hidden Markov Model) and is applied to the prediction of steering angle status to (1) evaluate the probabilities of the steering angle in each independent interval and (2) calculate the road traffic risk in different analysis regions. According to the model, the road traffic risk is quantified and presented directly in a visual form by the time-varying risk map, to ensure the accuracy of assessment and prediction. Experiment results are presented, and the results show the effectiveness of the assessment strategies.

scholarly journals Reconfigurable SRTM System for Road Traffic in Kingdom of Bahrain

2016 ◽  
Vol 17 (4) ◽  
pp. 298-306 ◽  
Author(s):  
Wael El-Medany ◽  
Alauddin Al-Omary ◽  
Riyadh Al-Hakim ◽  
Taher Homeed
Keyword(s):  
Traffic Management ◽  
Road Traffic ◽  
Traffic Signals ◽  
Google Maps ◽  
Traffic System ◽  
The Road ◽  
Field Programmable ◽  
Hardware Description ◽  
Traffic Management System ◽  
On The Road

Abstract This paper presents reconfigurable hardware architecture for smart road traffic system based on Field Programmable Gate Array (FPGA). The design can be reconfigured for different timing of the traffic signals according to the received and collected data read by the different sensors on the road; the design has been described using VHDL (VHSIC Hardware Description Language). The SRTM (Smart Road Traffic Management) System has some more features that help passenger to avoid traffic jamming by sending the collected information through web/mobile applications to find the best road between the start and destination points, which will be displayed on Google maps, at the same time it will also shows the points of traffic jamming on Google maps. SRTM system can also manage emergency vehicles such as ambulance and fire fighter and also can send snapshots and video streaming for different roads and junctions to show the points of traffic jamming. The design has been simulated and tested using ModelSim PE student edition 10.4. Spartan 3 FPGA starter kit from Xilinx has been used for implementing and testing the design in a hardware level.

scholarly journals Regional Patch Detection of Road Traffic Network

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Xia Zhu ◽  
Weidong Song ◽  
Lin Gao
Keyword(s):  
Complex Network ◽  
Road Traffic ◽  
Geographic Distance ◽  
Influence Factors ◽  
Impact Factors ◽  
Traffic Network ◽  
The Road ◽  
Key Points ◽  
Path Distance ◽  
Shortest Path Distance

Road traffic network (RTN) structure plays an important role in the field of complex network analysis. In this paper, we propose a regional patch detection method from RTN via community detection of complex network. Firstly, the refined Adapted PageRank algorithm, which combines with the influence factors of the location property weight, the geographic distance weight and the road level weight, is used to calculate the candidate ranking results of key nodes in the RTN. Secondly, the ranking result and the shortest path distance as two significant impact factors are used to select the key points of the RTN, and then the Adapted K-Means algorithm is applied to regional patch detection of the RTN. Finally, based on the experimental data of Zhangwu road traffic network, the analysis results are as follows: Zhangwu is divided into 9 functional structures with key node locations as the core. Regional patch structure is divided according to key points, and the RTN is actually divided into nine small functional communities. Nine functional regional patches constitute a new network structure, maintaining connectivity between the regional patches can improve the overall efficiency of the RTN.

Analysis and Optimization of Hangzhou East Area Traffic Based on the Congestion Index Detection Platform

2014 ◽  
Vol 1030-1032 ◽  
pp. 2182-2186
Author(s):  
Ling Yan Ge ◽  
Bi Feng Zhu
Keyword(s):  
Automobile Industry ◽  
Traffic Congestion ◽  
High Speed ◽  
Road Traffic ◽  
Rapid Development ◽  
Traffic Demand ◽  
The Road ◽  
Fast Pace ◽  
Urbanization In China ◽  
Congestion Index

With the rapid development of urbanization in China and the motorization’s fast pace of high speed as well as the national automobile industry process, many cities in our country have been facing a huge problem - traffic congestion in recent years. And the essence of the problem is the imbalance between road traffic supply and traffic demand in the process of urban development. Aimed at the problem of traffic congestion, this paper based on Hangzhou city’s traffic congestion index of monitoring data from testing platform and statistical data from field survey , studied the Hangzhou east area of road traffic running situation, analyzed the causes of the east area of Hangzhou road congestion, and thus to adjust and optimize the road traffic system of the area, put forward reasonable system solutions and proposals to improve the management level

scholarly journals GPS & GSM Based Accident Detection And Auto Intimation

2018 ◽  
Vol 11 (1) ◽  
pp. 356 ◽  
Author(s):  
S.George Fernandez ◽  
R Palanisamy ◽  
K. Vijayakumar
Keyword(s):  
Road Accidents ◽  
Police Station ◽  
Vehicle Accidents ◽  
The Road ◽  
Vehicle Accident ◽  
Rescue Team ◽  
The People ◽  
Alert Message ◽  
Accident Detection ◽  
Short Time

<p>The high demand of automobiles has also increased the traffic hazards and the road accidents. Life of the people is under high risk. This is because of the lack of best emergency facilities available in our country. An automatic alarm device for vehicle accidents is introduced in this paper. This design is a system which can detect accidents in significantly less time and sends the basic information to first aid centre within a few seconds covering geographical coordinates, the time and angle in which a vehicle accident had occurred. This alert message is sent to the rescue team in a short time, which will help in saving the valuable lives. A Switch is also provided in order to terminate the sending of a message in rare case where there is no casualty, this can save the precious time of the medical rescue team. When the accident occurs the alert message is sent automatically to the rescue team and to the police station. The message is sent through the GSM module and the location of the accident is detected with the help of the GPS module. </p>

An evaluation of the road traffic system simulator PIMTRACS by PIM

2002 ◽  
Vol 59 (1-3) ◽  
pp. 45-56 ◽  
Author(s):  
Michiya Takahashi ◽  
Toshio Nakanishi ◽  
Isao Miyoshi ◽  
Tomokazu Fujikura
Keyword(s):  
Road Traffic ◽  
Traffic System ◽  
The Road

Driver’s Intention Estimation Based on Bayesian Networks for a Highly-Safe Intelligent Vehicle

2012 ◽  
Vol 24 (1) ◽  
pp. 219-225 ◽  
Author(s):  
Bo Sun ◽  
◽  
Michitaka Kameyama
Keyword(s):  
Image Processing ◽  
Real World ◽  
Intelligent Vehicles ◽  
Intelligent Vehicle ◽  
Trajectory Estimation ◽  
Vehicle Accidents ◽  
Experimental Learning ◽  
Driver’S Intention ◽  
Intention Estimation

Highly safe intelligent vehicles can significantly reduce vehicle accidents by warning drivers of dangerous situations. Trajectory estimation of target vehicles is expected to be used in highly safe intelligent vehicles. Trajectory estimation requires that we estimate driver intent not detectable by sensors. The Bayesian Network (BN) building we propose for trajectory estimation related to driver intent defines driver intent hierarchically to simplify the BN as much as possible. Causal driver-intent relationships are discussed reflecting real-world motion. This raises the quality of driver-intent estimation and increasing inference performance. Experimental learning based on 2D image processing is presented to acquire probabilistic BN parameters.

Landscape Design of City Road

2014 ◽  
Vol 1065-1069 ◽  
pp. 2753-2756 ◽  
Author(s):  
Yong Zhang
Keyword(s):  
Main Part ◽  
Road Traffic ◽  
Landscape Design ◽  
Road Vehicles ◽  
Visual Effects ◽  
Traffic Demand ◽  
Traffic System ◽  
The Road ◽  
On The Road ◽  
The City

the road is the main part of city traffic system, connects the different functions of the city land. The actual function of road traffic and space includes two functions. As the bus approaches of road vehicles and personnel, with clear guidance, on both sides of the road environment landscape should be consistent with the requirements and guidance, achieve walking King visual effects shift. Planting and pavement texture color road side of the choice should have the sense of rhythm and ornamental. To meet the traffic demand at the same time, the road can form an important view corridor. Therefore, the design should pay attention to the landscape and vision on the road, in order to strengthen the focus of the landscape.

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