Application of geographical information system (GIS) in reducing accident blackspots and in planning of a safer urban road network: A review

2021 ◽  
Vol 66 ◽  
pp. 101436
Author(s):  
Nishant Singh ◽  
Sunil Kumar Katiyar
2021 ◽  
Vol 22 (1) ◽  
pp. 15-28
Author(s):  
K. Sai Sahitya ◽  
Csrk Prasad

Abstract A sustainable transportation system is possible only through an efficient evaluation of transportation network performance. The efficiency of the transport network structure is analyzed in terms of its connectivity, accessibility, network development, and spatial pattern. This study primarily aims to propose a methodology for modeling the accessibility based on the structural parameters of the urban road network. Accessibility depends on the arrangement of the urban road network structure. The influence of the structural parameters on the accessibility is modeled using Multiple Linear Regression (MLR) analysis. The study attempts to introduce two methods of Artificial Intelligence (AI) namely Artificial Neural Networks (ANN) and Adaptive network-based neuro-fuzzy inference system (ANFIS) in modeling the urban road network accessibility. The study also focuses on comparing the results obtained from MLR, ANN and ANFIS modeling techniques in predicting the accessibility. The results of the study present that the structural parameters of the road network have a considerable impact on accessibility. ANFIS method has shown the best performance in modeling the road network accessibility with a MAPE value of 0.287%. The present study adopted Geographical Information Systems (GIS) to quantify, extract and analyze different features of the urban transportation network structure. The combination of GIS, ANN, and ANFIS help in improved decision-making. The results of the study may be used by transportation planning authorities to implement better planning practices in order to improve accessibility.


Author(s):  
Mohamed Elamin Ahmed Babiker ◽  
Hajir Khaild Elshaikh Idris

A Geographical Information System (GIS) utility, such as network analysis is a tool used to solve common network problem, This study is intended to use GIS as a tool of analyzing. integrating and displaying information. the overall activities of the work were concentrated around sub area selected as the study site in the Khartoum north city (Khartoum ) of main capital, Sudan .To demonstrate the use of road network analysis, this project focused on determining the best route between too destinations , the closest facility from a given incident , and a service area for a given facility . The present study attempt to analyze the potential use of network analysis in defining the optimal service area of different services such as hospitals, schools and university of Khartoum north. Generally for the purposes of this project ,distance is taken as impedance in order to find the best route and the closest facility and that of travel time is taken as impedance in order to find the service area.


2017 ◽  
Vol 7 (5) ◽  
pp. 2010-2013
Author(s):  
S. Panchal ◽  
A. Debbarma

The aim of this study is to analyse the potential of geographical information system (GIS) in decision making in rail route planning process. The various parameters affecting the alignment of rail route are considered in this study and a feasibility map is prepared considering the cumulative effect of these factors. The factors considered in this study are road network, slope, topographical characteristics and drainage characteristics of study area. Each parameter is given weights according to analytic hierarchy process (AHP) in GIS environment. The layers of parameters affecting the feasibility of route are overlaid in GIS environment to find a feasibility map. Feasibility map is divided into five categories i.e. very low, low, moderate, high and extremely feasible on the basis of feasibility index.


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