A decision making system to automatic recognize of traffic accidents on the basis of a GIS platform

Durduran, Süleyman Savaş

doi:10.1016/j.eswa.2010.04.068

Cited by 56 publications

(37 citation statements)

References 13 publications

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“…Sufficient traffic safety education is also necessary not only for drivers but also for voluntary participants (i.e., pedestrians, bicyclists, et al). For scientific research demand, crash messages need to be more accurately identified in order to construct more accurate crash database using available GPS technology [17].…”

Section: Discussionmentioning

confidence: 99%

Practice Analysis of Road Traffic Crashes Accident of a City in China

Xiong

2012

AEF

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Abstract. Many studies focused on the development of crash analysis approaches have resulted in aggregate practices and experiences to quantify the safety effects of human, geometric, traffic and environmental factors on the expected number of deaths, injuries, and/or property damage crashes at specific locations. Traffic crashes on roads are a major cause of road crashes in the metropolitan area of Xi'an. In an attempt to identify causes and consequences, reported traffic crashes for six years in Xi'an were analyzed using a sample of 2038 reports. The main types of information from such reports were extracted, coded, and statistically analyzed. Important results were obtained from frequency analyses as well as multiple contributory factors related to traffic crashes, including crash severity, time and location of occurrence, geometry of the road, AADT and v/c. This paper presents the results of such analyses and provides some recommendations to improve traffic safety and further studies to analyze potential crash locations.

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Section: Discussionmentioning

confidence: 99%

Practice Analysis of Road Traffic Crashes Accident of a City in China

Xiong

2012

AEF

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“…Hibrit model, Grey Tahmin Modeli ve YSA modelinin tek başlarına uygulanmasıyla elde edilen tahmin değerlerinden daha yüksek tutarlılık göstermiştir. Durduran [8] …”

Section: Introductionunclassified

Analysis of injury traffic accidents with machine learning methods: Adana case

Özden¹,

Acı²

2018

Pamukkale J Eng Sci

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“…Works [15,16] deal with the problem of accident detection. Solutions, which evaluate the level of accident hazard in the monitored traffic area, are proposed.…”

Section: Evaluation Of Traffic Parametersmentioning

confidence: 99%

Neural Networks in Transportation Research – Recent Applications

Pamuła¹

2017

Transport Problems

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Summary. Neural networks' (NNs) capability of mapping the nonlinear functions of variables describing the behaviour of objects and the simplicity of designing their configuration favours their applications in transport. This paper presents representative examples in the scope of prediction of road traffic parameters, road traffic control, measurement of road traffic parameters, driver behaviour and autonomous vehicles, and transport policy and economics. The features of the solutions are examined. The review shows that feedforward multilayer neural networks are the most often utilised configurations in transportation research. No systematic approach is reported on the optimisation of the NN configurations to achieve a set level of performance in solving modelling tasks. ZASTOSOWANIE SIECI NEURONOWYCH W BADANIACH W TRANSPORCIE -OSTATNIE OPRACOWANIAStreszczenie. Zdolność sieci neuronowej do odwzorowania nieliniowych zależności między zmiennymi, które opisują zachowanie obiektów, oraz łatwość opracowania efektywnej konfiguracji sprzyjają zastosowaniom ich w transporcie. W artykule przedstawiono reprezentatywne przykłady z zakresu: predykcji parametrów ruchu drogowego, sterowania ruchem drogowym, pomiarów parametrów ruchu, zachowania kierowców i prowadzenia autonomicznych pojazdów, ekonomii i polityki transportowej, oraz omówiono własności proponowanych rozwiązań. Przegląd wskazuje, że najczęściej wybieranymi sieciami neuronowymi są sieci jednokierunkowe wielowarstwowe. Brak jest systematycznego podejścia do optymalizacji konfiguracji sieci w celu osiągnięcia zadanego poziomu dokładności w zadaniach modelowania.

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A decision making system to automatic recognize of traffic accidents on the basis of a GIS platform

Cited by 56 publications

References 13 publications

Practice Analysis of Road Traffic Crashes Accident of a City in China

Practice Analysis of Road Traffic Crashes Accident of a City in China

Analysis of injury traffic accidents with machine learning methods: Adana case

Neural Networks in Transportation Research – Recent Applications

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