A fuzzy decision-support system in road safety planning

Abstract

The objective of this research was to develop a decision-support system to help road safety policy makers make the right choices in road safety planning based on the efficiency of previously implemented safety measures. The measures considered for each region in the study include performance indicators about police operations, treated black spots, freeway and highway facility supplies, speed control cameras, emergency medical services and road lighting projects. To this end, an inefficiency measure is calculated, defined by the proportion of fatality rates in relation to the combined measure of road safety performance indicators, which should be minimised. The relative inefficiency for each region is modelled using the data envelopment analysis (DEA) technique, which follows a benchmarking and target-setting process. In the next step, a fuzzy decision-making system is constructed to convert the information obtained from the DEA into a rule-based system that can be used by policy makers to evaluate the expected outcomes of certain alternative investment strategies in road safety. Using the resultant fuzzy decision-support system, policy makers can analyse alternative strategies in addition to those unique targets suggested by the DEA benchmarking and target-setting process.

An operative constellation rate for smart safety units using Internet of Things

“…8 Also for independent driver monitoring a decision-based system has been developed. 9 The decision-based system uses a data analysis scheme and it is used as a benchmarked system for converting the fuzzy-based system to data equivalent system. But a lot of parameters will be required for obtaining a equivalent system where in this case inefficiency index will be obtained.…”

“…But a lot of parameters will be required for obtaining a equivalent system where in this case inefficiency index will be obtained. 9 In India most of the highway roads will be only a two lane roads where, the geometric section and sound of the vehicles in air needs to be clearly monitored. 10 The change rate of curves with very less budget has been implemented with side friction calculations.…”

“…Incorporating the projected model by considering total cost and error by covering long distance with less number of units is a crucial task and for overcoming the encounters such as over speed, improper lane diversion etc., a lot of techniques have been offered. [2][3][4][5][6][7][8][9][10][11][12][13] Also, there are few measures that are able to decipher these challenging errands. But all the procedures enumerated [5][6][7][8][9][10][11][12][13][14][15][16] grieves from any one drawback.…”

“…In the acceleration unit AMS tool will be introduced which alerts the users to travel with appropriate premeditated speed. 9 For providing safety to all vehicles in roads the speed of the vehicle must be reduced which is given by Equation 4as,…”

“…For each individual the level of safety should be ensured in a particular way. 9 Therefore, the low cost units which is installed on the road should satisfy the following constraint,…”