期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：5
页码：785-791
DOI：10.35629/5252-0305614620
语种：English
出版社：IJAEM JOURNAL
摘要：In metropolitan cities, traffic congestion has emerged as a major problem. The annual increase in automobile population is 14.19 percent, resulting in increased noise emissions, air pollution, collisions, and travel time delays. Owing to a lack of automated processes, current traffic signals in cities are inefficient and insufficient to solve the problems listed above. The traditional traffic system uses pre-determined times for red and green signals, requiring third parties such as traffic cops to manually manage traffic. On average, Indians spend 7% of their day commuting to work, with a time per kilometer of less than 3 minutes. This paper compares and contrasts various traffic control methods and explores the advantages and drawbacks of each approach.
关键词：Congestion control;emergency vehicle detection;intelligent traffic management system;traffic signal control;traffic analysis;traffic density
