Traffic Accident Detection of Optimal Sensor Placement Algorithms

2012 ◽  
Vol 253-255 ◽  
pp. 1691-1694
Author(s):  
Mei Yang ◽  
Qi Sheng Wu ◽  
Lan Bai ◽  
Lan Xin Wei ◽  
Bo Li ◽  
...  
Keyword(s):  
Traffic Management ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Traffic Operations ◽  
Freeway Traffic ◽  
Traffic Incident ◽  
Urban Freeway ◽  
Accident Detection ◽  
The Impact

Through analysis the impact of rapid urban road traffic accidents on traffic operations factors. We take the rapid road between the Chang'an Road Interchange and the Yanta Interchange sections as the research target; simulate the traffic incident through the TransModeler software. Propose the best sensor layout spacing, which can rapidly detect the traffic accident when an accident comes out and supply to the traffic management departments to deal with traffic accident, protect the urban freeway traffic flow.

scholarly journals The impact of traffic flow structure on traffic safety: the case of Slovenian motorways

Transport ◽  
2016 ◽  
Vol 33 (1) ◽  
pp. 216-222 ◽  
Author(s):  
Marina Zanne ◽  
Aleš Groznik
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Transport Infrastructure ◽  
Traffic Flows ◽  
Moving Vehicle ◽  
Public Road ◽  
Past Data ◽  
The Impact

Road traffic accident is an accident on a public road in which at least one moving vehicle has been involved and material damage or injury or death has occurred. Traffic accidents occur for various reasons, with one of them being the transport infrastructure and next the condition of traffic environment. Motorways are considered to be the safest roads, which have initially been planned as dedicated roads intended to be travelled only by personal cars, but the evolution of modal split of freight transport in Europe is causing the heterogeneity of traffic flows on these roads, which consequently affects the traffic safety. The aim of this paper is to explore the effects of changing volume and structure of traffic flows on road safety on Slovenian motorways. After the exhaustive analysis of past data, the paper provides different models for forecasting traffic safety on Slovenian motorways.

Measures on the Impact-Spread of Road Accidents

2012 ◽  
Vol 490-495 ◽  
pp. 1081-1084
Author(s):  
Han Xin Zhang
Keyword(s):  
Road Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Safety Evaluation ◽  
Accident Prevention ◽  
Safety System ◽  
The Public ◽  
Emergency Rescue ◽  
The Impact

Road safety system has been a concern topic for many scholars worldwide. Although there are many analysis papers on road traffic accident prevention, security, emergency rescue, safety evaluation and other aspects, there is no a thorough and complete opinion on road safety system. The study of these issues can cause a traffic accident prevention, to reduce the incidence of traffic accidents, summing up the spread of some of the impact of traffic on the control of the effective ways to combat the public security organs to reduce the incidence of traffic accidents guidance.

scholarly journals THE IMPACT OF ROAD PARAMETERS AND THE SURROUNDING AREA ON TRAFFIC ACCIDENTS

Transport ◽  
2009 ◽  
Vol 24 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Tomas Šliupas
Keyword(s):  
Traffic Accident ◽  
Road Network ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Real Data ◽  
Road Traffic Accidents ◽  
Surrounding Area ◽  
Accident Rate ◽  
The Road ◽  
The Impact

The article analyses the data on road traffic accidents in Lithuanian main and interurban road networks in the years 2002–2006. The road network is divided into 341 road sections. The surrounding area and road parameters of each of the sections are measured. Then, the dependence of traffic accident rate on the parameters is studied and described using linear and multiple regressions. The equations are built using 90% of the available data and tested forecasting traffic accident rate for the rest of 10% of the data comparing the obtained results with the real data.

scholarly journals Traffic Accident Prediction Based on LSTM-GBRT Model

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Zhihao Zhang ◽  
Wenzhong Yang ◽  
Silamu Wushour
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Short Term Memory ◽  
Road Traffic ◽  
Boosted Regression Trees ◽  
Safety Level ◽  
Accident Prediction ◽  
Road Traffic Safety

Road traffic accidents are a concrete manifestation of road traffic safety levels. The current traffic accident prediction has a problem of low accuracy. In order to provide traffic management departments with more accurate forecast data, it can be applied in the traffic management system to help make scientific decisions. This paper establishes a traffic accident prediction model based on LSTM-GBRT (long short-term memory, gradient boosted regression trees) and predicts traffic accident safety level indicators by training traffic accident-related data. Compared with various regression models and neural network models, the experimental results show that the LSTM-GBRT model has a good fitting effect and robustness. The LSTM-GBRT model can accurately predict the safety level of traffic accidents, so that the traffic management department can better grasp the situation of traffic safety levels.

Analysis on Affection and Dissemination of Road Traffic Accidents

2012 ◽  
Vol 468-471 ◽  
pp. 200-203
Author(s):  
Han Xin Zhang
Keyword(s):  
Traffic Flow ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Integrated System ◽  
Effective Theory ◽  
Road Traffic Accidents ◽  
Road Traffic Safety ◽  
The Impact

Analysis for the road traffic accident is the dissemination of summary analysis of road traffic accidents, all types of traffic into the causes and recommends a system can reduce the effective theory of road traffic accidents. Road traffic system is a person, motor vehicles, the combined effect of the environment from the system. Road traffic safety depends on people, vehicles, roads, environment and road traffic management in all aspects of an integrated system for co-ordination. Characteristics for the occurrence of traffic accidents, road traffic accident on an analysis and research of the impact-spread of road traffic accident, to investigate the microscopic properties of a traffic accident on the traffic flow, emissions, noise impact and the dissemination of the law, analyzing the past, the scene of the accident the speed of other vehicles and drivers of the physical distribution psychological reaction to speed up the disposal of road traffic accidents, to reduce road traffic accidents on traffic flow and avoid the second derivative disasters, the elimination of road accident black spots, build a smart urban road traffic command system, to reduce pollutants in automobile exhaust emissions to protect the natural ecological environment, thus contributing to building a harmonious ecological city transport network.

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.

scholarly journals Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lei Lin ◽  
Feng Shi ◽  
Weizi Li
Keyword(s):  
New York ◽  
Los Angeles ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Human Mobility ◽  
Critical Conditions ◽  
Road Traffic Safety ◽  
Accident Data ◽  
The Impact

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.

scholarly journals Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing

2021 ◽  
Vol 13 (12) ◽  
pp. 2329
Author(s):  
Elżbieta Macioszek ◽  
Agata Kurek
Keyword(s):  
Travel Behavior ◽  
Traffic Management ◽  
Road Traffic ◽  
Traffic Volume ◽  
The Road ◽  
Traffic Characteristics ◽  
Annual Average Daily Traffic ◽  
On The Road ◽  
The Impact ◽  
The City

Continuous, automatic measurements of road traffic volume allow the obtaining of information on daily, weekly or seasonal fluctuations in road traffic volume. They are the basis for calculating the annual average daily traffic volume, obtaining information about the relevant traffic volume, or calculating indicators for converting traffic volume from short-term measurements to average daily traffic volume. The covid-19 pandemic has contributed to extensive social and economic anomalies worldwide. In addition to the health consequences, the impact on travel behavior on the transport network was also sudden, extensive, and unpredictable. Changes in the transport behavior resulted in different values of traffic volume on the road and street network than before. The article presents road traffic volume analysis in the city before and during the restrictions related to covid-19. Selected traffic characteristics were compared for 2019 and 2020. This analysis made it possible to characterize the daily, weekly and annual variability of traffic volume in 2019 and 2020. Moreover, the article attempts to estimate daily traffic patterns at particular stages of the pandemic. These types of patterns were also constructed for the weeks in 2019 corresponding to these stages of the pandemic. Daily traffic volume distributions in 2020 were compared with the corresponding ones in 2019. The obtained results may be useful in terms of planning operational and strategic activities in the field of traffic management in the city and management in subsequent stages of a pandemic or subsequent pandemics.

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