Strategic Optimization Decision Priority Portal based Transportation Decision Support System for Indian cities

Abstract

The demand of transportation system of Indian cities is continuously increasing due to rapid rise in population, industrialization, education infrastructure and desire to travel; and is now a solid backbone for the survival and development of a modern society. Due to population and vehicle population growth, frequent road accidents, heavy transport taxes, rising cost of petrol and diesel, high road pollution, changes in travel patterns, poor and inadequate maintenance of roads, there is an urgent need for the strategic optimization of decision priority areas of Indian million plus cities to improve and manage their current poor transportation system. In this paper, a Strategic Optimization Decision Priority Portal based Transportation Decision Support System (SODP-TDSS) is designed and developed for the strategic optimization of transportation decision priority areas of Indian million plus cities. The SODP-TDSS is comprised of six main sub-systems: Transportation Model Base Management Sub-system, Transportation Data Base Access and Management Sub-system, Strategic Optimization Decision Priority Portal based Optimization Vision Technology Base, Central Transportation Vision Navigator Board, Dialog Management Sub-system and Transportation Decision Making and User Desk. The Genetic Algorithm based portal uses natural selection and mechanics of natural genetics to generate and select optimized strategic traffic and transportation critical factors with their respective optimized weights. The developed SODP- TDSS generated total 21 most prioritized strategic optimal traffic and transportation critical factors for Indian million plus cities with their respective optimized weights W_TTCF for all 9 identified strategic transportation decision priority areas with their specificity and sensitivity between 93-98 % and 84-92% respectively and the mean accuracy of developed SODP-TDSS was 96%.