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Traffic Control: The Need For Change

2023-01-15 00:27:53

Traffic regulation: Necessity of change As the population of the United States dramatically increases and the number of cars on national roads and highways increases rapidly, it is necessary to use new methods of transportation, traffic regulation and changes in organization It is becoming. In the past 15 years, the number of vehicles on the US road increased 41.9%, the number of licensed drivers increased 29.3%, but the general population only increased by 15.9% (Calke 387 - 404) .

Traffic accidents are one of the main reasons for revising traffic control technology. Traffic jams, broken cars, and lack of alternate routes account for half of the US traffic congestion (Clarke 387-404). The number of traffic accidents in the US has slowly declined over the past few years, but it is still surprisingly high. In 1990, approximately 7 deaths per 10,000 people due to traffic accidents (Wallich 14)

Traffic regulation: Necessity of change As the population of the United States dramatically increases and the number of cars on national roads and highways increases rapidly, it is necessary to use new methods of transportation, traffic regulation and changes in organization It is becoming. In the past 15 years, the number of vehicles on the US road increased 41.9%, the number of licensed drivers increased 29.3%, but the general population only increased by 15.9% (Calke 387 - 404) . Between 1975 and 1985, the distance traveled by Americans increased by 34.6%, but the road travel distance only increased by 4% (Doan 64).

Recent advances in traffic control methods have led to flexible control strategies for adaptive traffic control systems. In the past decade, the digitization of road traffic in large cities, the development of information infrastructure and related systems has been rapidly developed. At the same time, the emergence of intelligent connected vehicles and automotive vehicles constitutes future traffic environments, the ability to acquire and recognize personal information, and response time and interaction behavior are quite different from conventional manually operated vehicles. However, the current adaptive traffic signal control system can not effectively utilize these rich real-time traffic data and their theories, methods and techniques are considerably delayed from those important infrastructure technological advances There.