Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Harnessing Remote Sensing for Civil Engineering: Then, Now, and Tomorrow Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Identification and Removal of Accident-Prone Locations Using Spatial Data Mining

Authors : Rashmi A. Mestri, Ravindra R. Rathod, Rahul Dev Garg

Published in: Applications of Geomatics in Civil Engineering

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Road accidents are responsible for a great amount of morbidity and mortality, hence, public health safety on transport channels is a major concern in the present scenario. The present study shows a method for identification and removal of accident-prone locations on roads (hot spots). The proposed methodology includes road network analysis followed by hot spot analysis using Kernel Density Estimation (KDE), buffer operation of Geographic Information System (GIS) and spatial data mining techniques. Various causes for occurrences of accidents are further correlated with identified hot spots. For the present study, accident records on internal roads of an engineering institute have been used. The results reflect that the junction points and low visibility at turns are the main causes behind the occurrences of accidents at identified hot spots. The obtained results can be further used by institute administration for implementing accident prevention measures and removal of hot spots.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Route Analysis of Hyderabad City Using Geomatics Application—A Case Study
next chapter Study of Pedestrian Movement in Correlation to the Transportation Infrastructure and Land Use/Land Cover in a Fast Developing Indian City
Literature
1.
Govt. of India (2017) Ministry of Road Transport Highways, Road Accidents In India—2016
2.
Petridou E, Moustaki M (2000) Human factors in the causation of road traffic crashes. Springer 16(9):819–826
3.
Issa Y (2016) Effect of driver’s personal characteristics on traffic accidents in Tabuk city in Saudi Arabia. J Transp Lit 10(3):25–29CrossRef
4.
Kim Y (2001) Effects of driver, vehicle, and environment characteristics on collision warning system design
5.
6.
Brockmann D, Hufnagel L, Geisel T (2006) Data mining and knowledge discovery handbook
7.
Mennis J, Guo D (2009) Spatial data mining and geographic knowledge discovery-An introduction. Comput Environ Urban Syst 33(6):403–408CrossRef
8.
Moons E, Brijs T, Wets G (2008) Hot spot analysis: improving a local indicator of spatial association for application in traffic safety. In: Computational science and its applications—ICCSA, pp 221–231
9.
Anderson TK (2009) Kernel density estimation and K-means clustering to profile road accident hotspots. Accid Anal Prev 41(3):359–364CrossRef
10.
Thakali L, Kwon TJ, Fu L (2015) Identification of crash hotspots using kernel density estimation and kriging methods: a comparison. J Modern Transp 23(2):93–106CrossRef
11.
Ali G, Famili A (2017) GIS-based spatial analysis of urban traffic accidents: case study in Mashhad, Iran. J Traffic Transp Eng (English Ed) 4(3):290–299CrossRef
12.
Mohaymany AS, Shahri M, Mirbagheri B (2013) GIS-based method for detecting high-crash-risk road segments using network kernel density estimation. Geo-spat Inf Sci 16(2):113–119CrossRef
13.
Loo BPY, Yao S, Wu J (2011) Spatial point analysis of road crashes in Shanghai: a GIS-based network kernel density method. In: Proceedings—2011 19th international conference on geoinformatics, Geoinformatics 2011
14.
Aghajani MA (2017) Applying GIS to identify the spatial and temporal patterns of road accidents using spatial statistics (case study: Ilam Province, Iran) accide. Transp Res Procedia 25:2131–2143CrossRef
15.
Shariff SSR, Maad HA, Halim NNA, Derasit Z (2018) Determining hotspots of road accidents using spatial analysis, Indonesian. J Electr Eng Comput Sci 9(1):146–151
16.
Deshpande N, Chanda I (2011) Accident mapping and analysis using geographical information systems. Int J Earth Sci Eng 4(6):342–345
17.
Prasannakumar V, Vijith H, Charutha R, Geetha N (2011) Spatio-temporal clustering of road accidents: GIS based analysis and assessment. Procedia—Soc Behav Sci 21:317–325CrossRef
18.
de Smith MJ, Goodchild MF, Longley PA (2015) Geospatial analysis: a comprehensive guide to principles, techniques and software tools, 5th edn. The Winchelsea Press, Winchelsea, UK
19.
Vanlaar W, Yannis G (2006) Perception of road accident causes. Accid Anal Prev 38(1):155–161CrossRef
20.
Wang C, Quddus MA, Ison SG (2013) The effect of traffic and road characteristics on road safety: A review and future research direction. Saf Sci 57:264–275CrossRef
21.
Han J, Kamber M (2006) Data mining concepts and techniques, 2nd edn. Elsevier Inc.
22.
Agrawal R, Shafer JC (1996) Parallel mining of association rules. IEEE Trans Knowl Data Eng
Metadata
Title
Identification and Removal of Accident-Prone Locations Using Spatial Data Mining
Authors
Rashmi A. Mestri
Ravindra R. Rathod
Rahul Dev Garg
Copyright Year
2020
Publisher
Springer Singapore
Book
Applications of Geomatics in Civil Engineering

Print ISBN: 978-981-13-7066-3

Electronic ISBN: 978-981-13-7067-0

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-13-7067-0_29