scholarly journals TRAFFIC ANALYSIS ZONE LEVEL ROAD TRAFFIC ACCIDENT PREDICTION MODELS BASED ON LAND USE CHARACTERISTICS

2019 ◽  
Vol 9 (4) ◽  
Keyword(s):  
Land Use ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Prediction Models ◽  
Road Traffic ◽  
Traffic Analysis ◽  
Accident Prediction

The Prediction Model of Macro-Road Traffic Accident Basing on Radial Basis Function

2011 ◽  
Vol 97-98 ◽  
pp. 981-984 ◽  
Author(s):  
Cheng Ju Song ◽  
Quan Yan Li
Keyword(s):  
Prediction Model ◽  
Radial Basis Function ◽  
Basis Function ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Prediction Models ◽  
Road Traffic ◽  
Accident Prediction ◽  
Radial Basis ◽  
Traffic Operation

The Macro-road traffic accident prediction is an important branch of ITS, which could not only make improving direction, but also improve the traffic operation. The paper based on the analyzing the existing macro prediction model, aiming at the existing shortcomings of prediction models with low accuracy and slow convergence speed, introducing the Radial Basis Function, establishing the accident prediction model between Population, Economic situation, cars, road mileage and the index of accident Statistics, and apply Matlab to Simulation to prove the Feasibility and Practicality of the model.

scholarly journals COMPARISON OF ROAD TRAFFIC ACCIDENT PREDICTION MODELS FOR TWO-LANE HIGHWAY INTEGRATING TRAFFIC AND PAVEMENT CONDITION PARAMETERS

2019 ◽  
Vol 16 (2) ◽  
pp. 1-10
Author(s):  
O. M. POPOOLA ◽  
O. S. ABIOLA ◽  
S. O. ODUNFA ◽  
S. O. ISMAILA
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Negative Binomial ◽  
Prediction Models ◽  
Road Traffic ◽  
International Roughness Index ◽  
Pavement Condition ◽  
Accident Prediction ◽  
Explanatory Variables ◽  
Roughness Index

In Nigeria, literature on the integration of traffic of pavement condition and traffic characteristics in predicting road traffic accident frequency on 2-lane highways are scanty, hence this article to fill the gap. A comparison of road traffic accident frequency prediction models on IIesha-Akure-Owo road based on the data observed between 2012 and 2014 is presented. Negative Binomial (NB), Ordered Logistic (OL) and Zero Inflated Negative Binomial (ZINB) models were used to model the frequency of road traffic accident occurrence using road traffic accident data from the Federal Road Safety Commission (FRSC) and pavement conditions parameters from pavement evaluation unit of the Federal Ministry of Works, Kaduna. The explanatory variables were: annual average daily traffic (aadt), shoulder factor (sf), rut depth (rd), pavement condition index (pci), and international roughness index (iri). The explanatory variables that were statistically significant for the three models are aadt, sf and iri with the estimated coefficients having the expected signs. The number of road traffic accident on the road increases with the traffic volume and the international roughness index while it decreases with shoulder factor. The systematic variation explained by the models amounts to 87.7, 78.1 and 74.4% for NB, ZINB and OL respectively. The research findings suggest the accident prediction models that should be integrated into pavement rehabilitation.   Keywords:  

Road traffic accident prediction modelling: a literature review

2017 ◽  
pp. 1-10 ◽  
Author(s):  
George Yannis ◽  
Anastasios Dragomanovits ◽  
Alexandra Laiou ◽  
Francesca La Torre ◽  
Lorenzo Domenichini ◽  
...  
Keyword(s):  
Literature Review ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Accident Prediction ◽  
Prediction Modelling

Chest Trauma Evaluation and Outcome of Management in a Tertiary Hospital - One Year Experience

2020 ◽  
Vol 22 (2) ◽  
pp. 110-117
Author(s):  
Md Mahmudul Islam ◽  
Khondkar AK Azad ◽  
Md Aminul Islam ◽  
Rivu Raj Chakraborty
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Chest Trauma ◽  
Road Traffic ◽  
Tube Thoracostomy ◽  
Rib Fracture ◽  
Medical College Hospital ◽  
College Hospital ◽  
Medical College ◽  
The Mean

Background: Chest trauma is responsible for 50% of deaths due to trauma. This kind of death usually occurs immediately after the trauma has occurred. Various therapeutic options have been reported for management of chest injuries like clinical observation, thoracocentesis, tube thoracostomy and open thoracotomy. Objective: To observe the pattern and outcome of management in chest trauma Methods: This is an observational study carried out in Casualty department of Chittagong Medical College Hospital (CMCH), Chittagong, between April 2015 to March 2016. Our study was included all patients, both sexes, following chest injury at Casualty units of Chittagong Medical College Hospital. All the data were recorded through the preformed data collection sheet and analyzed. Result: The mean age was found 37.7±18.1 years with range from 12 to 80 years. Male female ratio was 11.8:1. The mean time elapsed after trauma was found 6.1±3.1 hours with range from 1 to 72 hours. Almost one third (35.7%) patients was affecting road traffic accident followed by 42(27.3%) assault, 35(22.7%) stab injury, 15(9.7%) fall and 7(4.5%) gun shot . More than three fourth (80.5%) patients were managed by tube thoracostomy followed by 28(18.2%) observation and 2(1.3%) ventilatory support. No thoracotomy was done in emergency department. 42(27.2%) patients was found open pneumothorax followed by 41(26.6%) rib fracture, 31(20.1%) haemopneumothorax, 14(9%) simple pneumothorax, 12(7.8%) haemothorax, 6(3.9%) chest wall injury, 5(3.2%) tension pneumothorax, and 3(1.9%) flail chest. About the side of tube 60(39.0%) patients were given tube on left side followed by 57(37.0%) patients on right side, 9(5.8%) patients on both (left & right) side and 28(18.2%) patients needed no tube. Regarding the complications, 13(30%) patients had persistent haemothorax followed by 12(29%)tubes were placed outside triangle of safety, 6(13.9%) tubes were kinked, 6(13.9%) patients developed port side infection, 2(4.5%)tube was placed too shallow, 2(4.5%) patients developed empyema thoracis and 2(4.5%) patients developed bronchopleural fistula. The mean ICT removal information was found 8.8±3.6 days with range from 4 to 18 days. Reinsertion of ICT was done in 6(4.7%) patients. More than two third (68.2%) patients were recovered well, 43(27.9%) patients developed complication and 6(3.9%)patients died. More than two third (66.9%) patients had length of hospital stay 11-20 days. Conclusion: Most of the patients were in 3rd decade and male predominant. Road traffic accident and tube thoracostomy were more common. Open pneumothorax, rib fracture and haemopneumothorax were commonest injuries. Nearly one third of the patients had developed complications. Re-insertion of ICT needed almost five percent and death almost four percent. Journal of Surgical Sciences (2018) Vol. 22 (2) : 110-117

Epidemiological Study of Road Traffic Accident Cases Attending the Civil Hospital, Ahmedabad

2012 ◽  
Vol 3 (8) ◽  
pp. 282-283
Author(s):  
Dr. Chhaya Lakhani ◽  
◽  
Dr. Rachana Kapadia ◽  
Dr. Dhara Prajapati ◽  
Dr. A.Bhagyalaxmi Dr. A.Bhagyalaxmi
Keyword(s):  
Epidemiological Study ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Civil Hospital

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.

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