• Anjali Tekam
• Anil Kumar Tiwari

Traffic congestion is a prominent, widespread, and urgent transportation issue affecting not just cities in India but many urban areas globally daily. It impacts all forms of transportation, particularly roadways, and every socioeconomic demographic. Some of the main contributors to congestion include rapid population growth, increasing urban development, insufficient or unplanned transportation infrastructure, inadequate public transit systems, and the growing number of private vehicles. This article examines the results of research and management strategies aimed at alleviating traffic congestion through the analysis of traffic survey information. For any road development or enhancement project and its management plan, gathering traffic data and forecasting traffic volumes are essential prerequisites. Traffic information plays a crucial role in the field of descriptive national economics, and understanding this data is vital for formulating effective transport policies for the movement of passengers and goods in both public and private sectors. The analysis of traffic data has been conducted to illustrate changes in Passenger Car Units over time, their composition, and to study traffic volumes, which ultimately aids in making informed decisions for effective and sustainable transportation planning policies. This analysis also facilitates further calculations of Average Annual Daily Traffic (AADT) and the volume of classified vehicle groups during peak hours, specifically the total PCUs per hour.

data collection, traffic survey, PCU, AADT

"Focusing on managing methodologies reducing traffic congestion based on analysis of traffic survey data.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.a787-a791, October-2025, Available :http://www.jetir.org/papers/JETIR2510099.pdf

"Focusing on managing methodologies reducing traffic congestion based on analysis of traffic survey data.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppa787-a791, October-2025, Available at : http://www.jetir.org/papers/JETIR2510099.pdf