To Examine the Traffic Characteristics of Urban Area and Provide Solution with Simulation Technique
Vaishali P. Joshi1, Ajit R. Patil2

1Vaishali Pandurang Joshi*, Professor in G. H. Raisoni college of Engineering & Management Wagholi, Pune.
2Dr.Ajit Rajdhar Patil, Assistant Professor, Civil Engineering Dept., MIT College of Engineering, Pune University.
Manuscript received on April 20, 2020. | Revised Manuscript received on April 30, 2020. | Manuscript published on May 10, 2020. | PP: 525-527 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5353059720/2020©BEIESP | DOI: 10.35940/ijitee.G5353.059720
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Abstract:  Traffic Congestion is a situation of transportation system that results in slow speed of vehicles, take large time for trip and increase vehicle quening. In metro city, traffic congestion is the major problem. Pune comes in metropolitan city. The increasing number of vehicles in the metro city leads to traffic congestion. Thus, there is need of proper traffic management in the city. The objective of this research work is to study the traffic characteristics of urban area and provide simulation technique. The study is based on traffic data collected for 8 days during peak and non-peak hours. Different study is carried out to find out the problem statement like volume study, travel time studies, parking studies, delay studies, pedestrian studies, and accident studies. The study is divided in four major parts like Causes of traffic congestion in urban area, remedial measure to avoid traffic congestion. Current IRC specification on SH-27, and new traffic strategies can be implemented by Simulation of Urban Mobility SUMO – for analysis before they are using in real word simulation. In this research paper, we comparatively study the Indian Road Congress (IRC) SP:84-2014 for state highway 27 i.e. Nagar road and that study is divided into the 12 major points . 
Keywords: IRC-Indian Road congress, SUMO-simulation of urban mobility, Simulation, Traffic Congestion.
Scope of the Article: Emulation and Simulation Methodologies for IoT