QUANTIFYING MODELINGON RISK OF TRAVEL DEMAND AND MEASURE TO SUSTAINING ROAD SAFETY- GIS AND PCA ENABLED APPROACH

Madhubabu Dudipalli

Abstract: In these days urbanization of road transportation facilities are more complexity to developing in the form of to improve road safety. With the increased usage of Vehicles has enhanced the need for developing the infrastructure where these motor vehicles can move safely. By developing safe roads which connect destinations and cities is a key foundation to infrastructural development in a safe connectivity of road transportation. Mainly in this study can approach the road safety by using principal component analysis(PCA) by using MAT LAB and geographical information system (GIS) Arc-GIS software to develop base maps and accident causing zones identify in the study area. In this study an attempt has been made to study the existing road network for Ongole, Pernamitta village road (Kurnool road state highway) area and propose the necessary improvements to be done. And this model presented in this paper discussing with a multi set of variables under the one dimensionality set to identifying and deriving the new data set for risk identify zones with raking by this analysis of principal component analysis. The safety audit is defined as the place or location which causes number of accidents. It may be curve or faulty infrastructure. Such accidents are taken as input from Ongole taluka Police Station at Ongole for further study. These accidents are registered from First Information Report (FIR) informed by people. The study areas taken into consideration are Ongole to Pernamitta village Road (Ongole to Kurnool UN divided two way line state highway). The aim of this study is to minimize the accidents and find out the risk identify zones on the particular road network.

Keywords: road safety,faulty infrastructure, PCA analysis, Arc-GIS,FIR and urbanization

DOI: https://doi.org/10.15623/ijret.2015.0410005