A spatial econometrics perspective on the characteristics of urban traffic accidents: focusing on elderly drivers’ accidents in Seoul, South Korea

2020 ◽  
Vol 27 (4) ◽  
pp. 520-527
Author(s):  
Jiwon Lee ◽  
Tae-Hyoung Tommy Gim
Keyword(s):  
South Korea ◽  
Spatial Econometrics ◽  
Traffic Accidents ◽  
Urban Traffic ◽  
Elderly Drivers

Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk

2021 ◽  
pp. 036119812199906
Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo
Keyword(s):  
South Korea ◽  
Traffic Accidents ◽  
Road Traffic ◽  
The Road ◽  
Video Footage ◽  
Premature Deaths ◽  
Vehicle Velocity ◽  
Behavioral Features ◽  
Velocity Changes ◽  
On The Road

Road traffic accidents are a leading cause of premature deaths and globally pose a severe threat to human lives. In particular, pedestrians crossing the road present a major cause of vehicle–pedestrian accidents in South Korea, but we lack dense behavioral data to understand the risk they face. This paper proposes a new analytical system for potential pedestrian risk scenes based on video footage obtained by road security cameras already deployed at unsignalized crosswalks. The system can automatically extract the behavioral features of vehicles and pedestrians, affecting the likelihood of potentially dangerous situations after detecting them in individual objects. With these features, we can analyze the movement patterns of vehicles and pedestrians at individual sites, and understand where potential traffic risk scenes occur frequently. Experiments were conducted on four selected behavioral features: vehicle velocity, pedestrian position, vehicle–pedestrian distance, and vehicle–crosswalk distance. Then, to show how they can be useful for monitoring the traffic behaviors on the road, the features are visualized and interpreted to show how they may or may not contribute to potential pedestrian risks at these crosswalks: (i) by analyzing vehicle velocity changes near the crosswalk when there are no pedestrians present; and (ii) analyzing vehicle velocities by vehicle–pedestrian distances when pedestrians are on the crosswalk. The feasibility of the proposed system is validated by applying the system to multiple unsignalized crosswalks in Osan city, South Korea.

Artificial intelligence in the digital twins: State of the art, challenges, and future research topics

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 12
Author(s):  
Zhihan Lv ◽  
Shuxuan Xie
Keyword(s):  
Artificial Intelligence ◽  
Smart City ◽  
Traffic Accidents ◽  
Intelligent Manufacturing ◽  
Unmanned Vehicles ◽  
Urban Traffic ◽  
Future Research ◽  
Test Accuracy ◽  
Digital Twins ◽  
The Future

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.

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

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.

scholarly journals Evaluation of Performance of Inexpensive Laser Based PM2.5 Sensor Monitors for Typical Indoor and Outdoor Hotspots of South Korea

2019 ◽  
Vol 9 (9) ◽  
pp. 1947 ◽  
Author(s):  
Sungroul Kim ◽  
Sujung Park ◽  
Jeongeun Lee
Keyword(s):  
Particulate Matter ◽  
South Korea ◽  
Environmental Protection Agency ◽  
Urban Traffic ◽  
Monitoring Site ◽  
Strongly Correlated ◽  
Correction Factors ◽  
Evaluation Of Performance ◽  
Pan Frying ◽  
Indoor And Outdoor

Inexpensive (<$300) real-time particulate matter monitors (IRMs), using laser as a light source, have been introduced for use with a Wi-Fi function enabling networking with a smartphone. However, the information of measurement error of these inexpensive but convenient IRMs are still limited. Using ESCORTAIR (ESCORT, Seoul, Korea) and PurpleAir (PA) (PurpleAir U.S.A.), we evaluated the performance of these two devices compared with the U.S. Environmental Protection Agency (EPA) Federal Equivalent Monitoring (FEM) devices, that is, GRIMM180 (GRIMM Aerosol, Germany) for the indoor measurement of pork panfrying or secondhand tobacco smoking (SHS) and Beta-ray attenuation monitor (BAM) (MetOne, Grants Pass, OR) for outdoor measurement at the national particulate matter (PM2.5) monitoring site near an urban traffic hotspot in Daejeon, South Korea, respectively. The PM2.5 concentrations measured by ESCORTAIR and PA were strongly correlated to FEM (r = 0.97 and 0.97 from indoor pan frying; 0.92 and 0.86 from indoor SHS; 0.85 and 0.88 from outdoor urban traffic hotspot). The two IRMs showed that PM2.5 mass concentrations were increased with increased outdoor relative humidity (RH) levels. However, after applying correction factors for RH, the Median (Interquartile range) of difference compared to FEM was (14.5 (6.1~23.5) %) for PA and 16.3 (8.5–28.0) % for ESCORTAIR, supporting their usage in the home or near urban hotspots.

scholarly journals Intelligent Video Surveillance Technology in Intelligent Transportation

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.

FLUCTUATIONS IN URBAN TRAFFIC NETWORKS

2008 ◽  
Vol 22 (02) ◽  
pp. 101-115 ◽  
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.

Sign in / Sign up

Export Citation Format

Share Document