International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 06 | June 2022
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e-ISSN: 2395-0056 p-ISSN: 2395-0072
IDENTIFICATION OF BLACKSPOTS IN PALA-THODUPUZHA ROADAND RECOMMENDATION OF REMEDIAL MEASURES Aida Theres Joseph1, Ann Mary2, Anumol Joseph3, Sreelal S4, Dr. K.J. George5 1,2,3,4 UG
Scholar, St. Joseph’s College of Engineering and Technology, Palai, Kerala Professor, Department of Civil Engineering, St. Joseph’s College of Engineering and Technology, Palai, Kerala ---------------------------------------------------------------------***--------------------------------------------------------------------sections the skin galvanic response and pulse rate of the Abstract - Road safety has become a global issue of 5Associate
drivers, enormously increase and it is the wide fluctuations in these quantities on short stretches of roads that are responsible for accidents. Sometimes, the dangerous spots can be accident spots also if they permit larger variability in the response of the drivers. None of the techniques listed can, be used singularly in the identification of accident prone locations. Accident
concern and concerted efforts need to be initiated at the ground level to avoid the thousands of lives being lost in road crashes around the world. It is attempted to identify and prioritize the accident-prone points (black spots) in “Pala-Thodupuzha” road located in Kottayam. The task is to identify where accidents are happening and investigate them to determine the factors involved so that appropriate and effective remedial measures can be applied. Here we are using speed profile method for identifying blackspot. Taking actual accidents as the starting point is of fundamental importance, because it is not possible to reliably identify and analyze hazardous locations from the look of the road alone. The main aim of this paper is to use the variability in the speed data for the identification of accident-prone spots. The expected outcome includes providing standard proposals to help with the mitigation of accidents. This paper also discusses some suggestions which can be successfully implemented on that stretch for increasing safety.
Coefficient Method is for establishing criticality in relation to geometrical elements, the Safe Coefficient Method is a measure of criticalities created due to operation of vehicles on the road. The main aim of this Paper is to use the variability in the speed data at different locations in the different runs ofa test car for the identification of accident prone spots. The methodology proposed is experimented along with the above engineering methods of blackspot identification to demonstrate the usefulness of the former. 1.1 Data Collection
1. INTRODUCTION There are mainly four techniques for identification of blackspots and these are: i) Statistical methods ii) Engineering methods ii) Bio-medical techniques iv) Subjective assessment techniques Here we used Statistical methods. Statistical methods which take information from police records are useful only for the identification of blackspots or accident spots. But by treating these accident spots the accidents may not be reduced because the causative reason for accidents occurring on them may be due to criticalities elsewhere. It is indeed the accident prone locations or dangerous locations which are necessary to be identified in accident investigation work, for they are the ones responsible for escalation of accidents. This confusion between dangerous spots and accident spots is necessary to be clarified, so that some of the common mistakes committed by field engineers can be minimised. Dangerous spots are those which are characterised by criticalities in geometrical elements, either in plan or in profile or both. It is at these © 2022, IRJET
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The study sections chosen, happens to be an 28 km length roadway on the Major Road between Pala and Thodupuzha. The extracts from this file include: i) Speed details at different locations ii) Accident particulars from police records. 1.1.1
Speed Details
A representative test vehicle was used for the collection of the speed particulars. The time taken for travel of this test vehicle in free flow condition between successive 200 m stones on the road stretch was used for calculation of speeds at different sections. These speeds were plotted as profile on the test section and such profiles constructed for eight different runs of the test vehicle form the speed profile data. 1.1.2
Accident Particulars
Accident particulars were gathered from the relevant Police Stations for a period of three years from 2019 to 2021 from the First Information Reports. The accidents in
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