Application of GIS for Urban Traffic Accidents: A Critical Review

Advanced computer technologies such as big data, Artificial Intelligence (AI), cloud computing, digital twins, and edge computing have been applied in various fields as digitalization has progressed. To study the status of the application of digital twins in the combination with AI, this paper classifies the applications and prospects of AI in digital twins by studying the research results of the current published literature. We discuss the application status of digital twins in the four areas of aerospace, intelligent manufacturing in production workshops, unmanned vehicles, and smart city transportation, and we review the current challenges and topics that need to be looked forward to in the future. It was found that the integration of digital twins and AI has significant effects in aerospace flight detection simulation, failure warning, aircraft assembly, and even unmanned flight. In the virtual simulation test of automobile autonomous driving, it can save 80% of the time and cost, and the same road conditions reduce the parameter scale of the actual vehicle dynamics model and greatly improve the test accuracy. In the intelligent manufacturing of production workshops, the establishment of a virtual workplace environment can provide timely fault warning, extend the service life of the equipment, and ensure the overall workshop operational safety. In smart city traffic, the real road environment is simulated, and traffic accidents are restored, so that the traffic situation is clear and efficient, and urban traffic management can be carried out quickly and accurately. Finally, we looked forward to the future of digital twins and AI, hoping to provide a reference for future research in related fields.

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Evaluation and Optimization on Colors in Urban Traffic Based on PSO and GT-BPANN

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.97-98.1162 ◽

2011 ◽

Vol 97-98 ◽

pp. 1162-1167

Author(s):

Hong Wei Yuan ◽

Wen Bo Zhang

Keyword(s):

Quantitative Research ◽

Traffic Accidents ◽

Evaluation Model ◽

Reliability And Validity ◽

Urban Traffic ◽

Evaluation Index System ◽

Grey Theory ◽

Urban Road ◽

Modern Knowledge ◽

Color Psychology

In order to reduce traffic accidents, achieving safety and harmony of traffic color, a quantitative research on traffic color of urban road were carried. Grounded on modern knowledge of color theory, color psychology, Grey Theory and Back-error Propagation Artificial Neural Network (GT-BPNN), Particle Swarm Optimization algorithm (PSO) and traffic questionnaires, the evaluation index system of traffic color in urban road, the evaluation model of transportation color and the model of color harmony and optimization in urban road were constructed. Assisted by MATLAB and other software, the reliability and validity of models were determined, taking a road in Xuzhou, Jiangsu as a test section. According to the results, some reasonable improvements on traffic safe color were recommended.

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Intelligent Video Surveillance Technology in Intelligent Transportation

Journal of Advanced Transportation ◽

10.1155/2020/8891449 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10

Author(s):

Fangcheng He

Keyword(s):

Video Surveillance ◽

Traffic Accidents ◽

Intelligent Transportation ◽

Traffic Monitoring ◽

Motion Blur ◽

Urban Traffic ◽

Technology Research ◽

Monitoring Technology ◽

Intelligent Video Surveillance ◽

Surveillance Technology

Along with the strength of the country’s overall strength, the people’s pockets have become more and more popular, and there have been significant improvements in all aspects of life, especially in terms of travel methods. This reflects the increase in residents’ income, but it also brings huge traffic pressure. In the long run, traffic congestion is not only detrimental to urban development, but frequent traffic accidents threaten residents’ travel safety. Effective monitoring methods are essential to solving these problems, so it is necessary to carry out research on intelligent video monitoring technology in intelligent transportation. The purpose of this article is to solve the current situation of excessive traffic pressure in the city. Through the study of intelligent video surveillance technology in intelligent traffic, the use of constrained least squares algorithm to remove motion blur and apply Kalan filtering to the sharpening process is used to eliminate noise ambiguity and make a brief introduction to various classic moving target detection methods to realize real-time monitoring of intelligent traffic conditions and continuously adjust and verify the monitoring situation, and then establish intelligent video in intelligent traffic monitoring technology research system. The research results show that this kind of intelligent video surveillance technology research in intelligent transportation can effectively increase the awareness of intelligent video surveillance technology and improve the level of intelligent video surveillance technology. The data measurement time has been shortened by one hour, the aggregation time has been changed from three hours to two hours, and the analysis time has been shortened by half. Eased urban traffic road pressure and greatly reduced the incidence of traffic accidents, which is conducive to socialist harmony social construction.

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Measures to Counter for Traffic Accidents and Air-Pollution in Cities

Journal of the Society of Mechanical Engineers ◽

10.1299/jsmemag.75.640_782 ◽

1972 ◽

Vol 75 (640) ◽

pp. 782-788

Author(s):

Eiichi KIKUCHI ◽

Shigeru YANAGIHARA

Keyword(s):

Air Pollution ◽

Traffic Accidents ◽

Urban Traffic ◽

Special Issue

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FLUCTUATIONS IN URBAN TRAFFIC NETWORKS

Modern Physics Letters B ◽

10.1142/s0217984908014468 ◽

2008 ◽

Vol 22 (02) ◽

pp. 101-115 ◽

Cited By ~ 8

Author(s):

YU-DONG CHEN ◽

LI LI ◽

YI ZHANG ◽

JIAN-MING HU ◽

XUE-XIANG JIN

Keyword(s):

Traffic Accidents ◽

Temporal Dynamics ◽

Scaling Law ◽

Urban Traffic ◽

Traffic Network ◽

Internal Dynamics ◽

Traffic Demand ◽

Urban Traffic Network ◽

Spatial And Temporal Dynamics ◽

Average Flux

Urban traffic network is a typical complex system, in which movements of tremendous microscopic traffic participants (pedestrians, bicyclists and vehicles) form complicated spatial and temporal dynamics. We collected flow volumes data on the time-dependent activity of a typical urban traffic network, finding that the coupling between the average flux and the fluctuation on individual links obeys a certain scaling law, with a wide variety of scaling exponents between 1/2 and 1. These scaling phenomena can explain the interaction between the nodes' internal dynamics (i.e. queuing at intersections, car-following in driving) and changes in the external (network-wide) traffic demand (i.e. the every day increase of traffic amount during peak hours and shocking caused by traffic accidents), allowing us to further understand the mechanisms governing the transportation system's collective behavior. Multiscaling and hotspot features are observed in the traffic flow data as well. But the reason why the separated internal dynamics are comparable to the external dynamics in magnitude is still unclear and needs further investigations.

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What are the challenges of pedestrian safety from the viewpoints of traffic and transport stakeholders? A qualitative Study

10.21203/rs.3.rs-41143/v1 ◽

2020 ◽

Author(s):

Morteza Haghighi ◽

Fatemeh Bakhtari Aghdam ◽

Homayoun Sadeghi-Bazargani ◽

Haidar Nadrian

Keyword(s):

Traffic Management ◽

Management System ◽

Traffic Accidents ◽

Holistic Approach ◽

Pedestrian Safety ◽

Urban Traffic ◽

Vulnerable Groups ◽

Individual Interviews ◽

Wide Range ◽

Traffic Management System

Abstract Background Pedestrians are among the most vulnerable groups in traffic accidents. Our aim in this study was to explore the challenges associated to pedestrian safety from the perspective of traffic and transport stakeholders. Methods In 2018, applying a qualitative approach, twenty-four traffic and transport stakeholders were invited to participate in semi-structured individual interviews in Tabriz, Iran. To analyze data, conventional content analysis approach was used. MAXQDA software version 11 was applied to manage data analysis process. Findings: Participants reported a wide range of challenges which were grouped into six categories: "Challenges related to pedestrians", "Challenges related to drivers", "Management system challenges", "Environmental infrastructure challenges", "Educational and media challenges", and "Challenges of legislation and enforcement". Conclusion We identified pedestrian safety as a challenging urban traffic and transport issue with specific complexities, particularly in the management system. With a holistic approach to the challenges, as discussed inside, all reported obstacles seem to be overshadowed by one core challenge, namely the lack of a traffic management system with health-oriented approach and enough authority. Using evidence while policy-making and intervention planning, as well as media support is recommended.

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