Abstract
The paper takes an analysis of traffic conditions in a developing country, namely, India. India is a country with a rapidly growing economy and a large market, and it has the second largest population in the world, which was 1.3 billion in 2018. India also suffers from environmental problems, such as air pollution and global warming that is contributed by traffic CO2 emissions from transportation. In order to analyze this problem, a particularly challenging issue in developing countries like India, is the collection of traffic data. In general, developing countries do not often have well established infrastructure such as installations of small traffic signals, they lack new road construction and public transportation, etc. This study is the first real traffic congestion analysis in India and introduces unique traffic flow analysis such as: (1) Collecting over a month of recent traffic data in a major city in India, (2) defining traffic congestion from occupancy parameter based on traffic flow theory and observation data, and (3) using geographical special analysis (GIS) for identifying traffic congestion location. These three combination analysis enables one to identify the most congested area in the city with quantitative congestion condition. This study becomes useful to other countries that have similar issues.
Highlights
India is a country with a rapidly growing economy and a large market, and it has the second largest
India and introduces unique traffic flow analysis such as: (1) Collecting over a month of recent traffic in India and introduces unique traffic flow analysis such as: (1) Collecting over a month of recent data in a major city in India, (2) defining traffic congestion from occupancy parameter based on traffic data in a major city in India, (2) defining traffic congestion from occupancy parameter based traffic flow theory and observation data, and (3) using geographical special analysis (GIS) for idenon traffic flow theory and observation data, and (3) using geographical special analysis (GIS) for tifying traffic congestion location
These three combination analysis enables one to identify the most identifying traffic congestion location. These three combination analysis enables one to identify the congested area in the city with quantitative congestion condition
Summary
CO emissions,have have been been concerns cernssince sincethe the1970s. CO22 emissions emissionsworldwide worldwideinin2010, 2010,corresponding correspondingto to6.86. It is urgent to find out the reason result of crowded traffic, and traffic accidents. It is out the reason for trafficcongestion congestionmechanism mechanismin inorder order to to deploy deploy aa low low carbon carbon transport transport system. Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affilPublisher’s Note: MDPI stays neuiations. Tral with regard to jurisdictional claims in published maps and institutional affiliations. Note: 1) * Indirect emission 2) AFOLU agriculture, forestry and other land use
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