Bøger af Debasish Das

This book presents the collection of the accepted research papers presented in the 1st 'International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)'. This edited book contains the articles related to the themes on artificial intelligence in machine learning, big data analysis, soft computing techniques, pattern recognitions, sustainable infrastructural development, sustainable grid computing and innovative technology for societal development, renewable energy, and innovations in Internet of Things (IoT).

Parking of vehicles is one of the most important aspects of the transportation system in any central business district (CBD) worldwide. Indian metropolitan cities are also facing the same. Lack of off-street parking force the users to park their vehicle on-street leading to increase in on-street parking demand. The demand is also increasing due to the increase in the vehicular ownership and the poor quality of transit system. As a result, main carriageway width is reduced, flow is decreased and unnecessary congestion to traffic flow is being created. Managing the on-street parking demand is a very important issue in transportation planning, especially for metropolitan cities. The present study aims to estimate on-street parking accumulation profile, parking occupancy profile, parking attraction, on-street parking demand, Level of Service (LOS) of on-street parking and effect of mode shift on on-street parking demand. Kolkata is one of the largest and oldest metropolitan cities in India. Four CBDs in Kolkata - Camac Street, Gariahat, Dalhousie and Park Street are selected as the case study areas on the basis of the intensity and type of land use and on-street parking scenario.