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Erschienen in:
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2021 | OriginalPaper | Buchkapitel

Analysis and Management of Road Accidents Caused Due to Pavement Surface Conditions on Expressways

verfasst von : Rohit R. Salgude, S. S. Pimplikar, Kunj R. Patel

Erschienen in: Advances in Civil Engineering and Infrastructural Development

Verlag: Springer Singapore

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Abstract

Expressways are the highest class of roads in the Indian road network, and approximately, 1581.4 km of expressways are operational in India. Road accidents have rose over decades and are a significant contributor towards human deaths. It is increasing yearly with the increase of road users and construction of road pavement globally. In India, more than 150,000 people are killed each year in traffic accidents and that is about 400 fatalities a day. Also, India losses 3% of its GDP to road accidents. The objective of this study is to segregate critical accident blackspots on Mumbai–Pune Expressway, to map the accident blackspots using QGIS and to generate Karl Pearson correlation coefficient and regression model between number of accidents and pavement roughness index.

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Vorheriges Kapitel Biosorption: Principles, and Applications
Nächstes Kapitel Compact City and Related Impact on Sustainable Development in Urban Areas
Literatur
1.
2.
Shafabakhsh GA, Famili A, Bahadori MS (2017) GIS-based spatial analysis of urban traffic accidents: case study in Mashhad, Iran. J Traffic Transp Eng (Eng Ed) 4(3):290–299
3.
Selvasofia AS, Arulraj PG (2016) Accident and traffic analysis using GIS. Biomed Res (Special Issue)S103–S106
4.
Bhagyaiah M, Shrinagesh B (2014) Traffic analysis and road accidents: a case study of Hyderabad using GIS. IOP Conf Ser: Earth Environ Sci 20:012026
5.
Jayan KD, Ganeshkumar B (2010) Identification of accident hot spots: AGIS based implementation for Kannur District, Kerala. Int J Geomat Geosci 1(1):51–59CrossRef
6.
Alhasan A, Nlenanya I, Smadi O, MacKenzie CA (2018) Impact of pavement surface condition on roadway departure crash risk in Iowa. Infrastructures 3(14):1–16
7.
Elghriany A, Yi P, Liu P, Yu Q (2016) Investigation of the effect of pavement roughness on crash rates for rigid pavement. J Transp Saf Secur 8(2):164–176CrossRef
8.
Serigos PA, Prozzi JA, de Fortier Smit A, Murphy MR (2016) Evaluation of 3D automated systems for the measurement of pavement surface cracking. J Transp Eng Am Soc Civil Eng 05016003-1–05016003-8
9.
Lee J, Nam B, Abdel-Aty M (2015) Effects of pavement surface conditions on traffic crash severity. J Transp Eng Am Soc Civil Eng 04015020-1–04015020-11
10.
Yao Q, Liu S (2014) Analysis of typical distress and cause on asphalt pavement for Liaoning highway. CICTP: Saf Smart Sustain Multimodal Transp Syst ASCE 919–924
11.
Baek J, Yoo HM, Lee TH, Park YH, Kim MI (2014) Lessons from 20 years experiences of pavement management system on national highways in Korea: focus on distress survey. Des Anal Asphalt Mate Charact Road Air Pavements GSP 246 ASCE 170–177
12.
Kassu Aschalew, Anderson Michael (2018) Determinants of severe injury and fatal traffic accidents on urban and rural highways. Int J Traf Transp Eng 8(3):294–308CrossRef
13.
Gebretensay FB, Juremalani J (2018) Road traffic accident analysis and prediction model: a case study of Vadodara City. Int Res J Eng Technol (IRJET) 5(1):191–196
14.
Mir WA, Batra VS, Singla S (2018) Road traffic accident analysis and prediction model: a case study of Kashmir. Int J Tech Innov Mod Eng Sci (IJTIMES) 4(5):1343–1348
15.
Malik FA, Jabbar SFSFFRMJ, Rashid IUHWSMSF (2017) Road accidents and prevention. IJEDR 5(2):40–46
16.
Shariff SSR, Maad HA, Halim NNA, Derasit Z (2017) Spatial analysis of fatal road accidents along the north south expressway. J Eng Appl Sci 12(Special Issue 9):8764–8769
17.
Ghosh Amit, Paul Suman (2013) Road accident scenario in Kolkata: a spatio-temporal Study. Euro J Appl Eng Sci Res 2(1):47–57
18.
Li W, Zheng S, Lu Y (2017) The analysis of urban traffic accidents based on bayesian network. ASCE- CICTP, pp 4879–4888
19.
Gupta H, Rokade S (2017) Development of crash prediction model using multiple regression analysis. Int J Curr Eng Sci Res (IJCESR) 4(6)82–86
20.
Sailaja V, Raju SS (2015) Accident analysis on NH-18 by using regression model and its preventive measures. Int J Sci Res (IJSR) 4(4):2467–2470
21.
Agyemang B, Abledu GK, Semevoh R (2013) Regression analysis of road traffic accidents and population growth in Ghana. Int J Bus Soc Res (IJBSR) 3(10):41–47
22.
Ramaswamy (2003) Compendium on road accidents. FASCAO/CN, Bangalore
23.
Pimplikar SS, Kharat AG, Raval PM, Dharmadhikari NP (2008) Effect of geopathic stress on the performance of roadways. Highw Res J Highw Res Bard Indian Road Cong 1(1):31–41
24.
Chafekar BH, Jarad GP, Pimplikar SS, Dharmadhikari NP, Kharat AG, Sorate RR (2012) Effect of geopathic stress on pavement distresses. IOSR J Mech Civil Eng 1–8
25.
Pimplikar SS, Kharat AG (2012) Effect of geopathic stress on the performance of roadways. IJECS 4:125–128
26.
Baskara SN, Yaacob H, Hainin MR, Hassan SA (2016) Accident due to pavement condition—a review. Jurnal Teknologi (Sci Eng) 7(2):75–82. (Haryati Yaacob et al.)
Metadaten
Titel
Analysis and Management of Road Accidents Caused Due to Pavement Surface Conditions on Expressways
verfasst von
Rohit R. Salgude
S. S. Pimplikar
Kunj R. Patel
Copyright-Jahr
2021
Verlag
Springer Singapore
Buch
Advances in Civil Engineering and Infrastructural Development

Print ISBN: 978-981-15-6462-8

Electronic ISBN: 978-981-15-6463-5

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-981-15-6463-5_49

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