Traffic congestion has become a part of everyday life in cities around the world, especially during rush hour. This phenomenon, although we are all tired of it, still happens frequently in certain places, which makes us wonder: why are these areas always congested? Experts say the causes of traffic rush and bottlenecks are complex and far-reaching.
The analysis of traffic flow not only takes into account the number of vehicles, but also includes multiple factors such as human driving behavior, road design, and audio impact.
The theoretical origins of traffic flow can be traced back to the early 20th century. The most famous contributors include American economists Frank Knight and Wardrop. The initial research on traffic balance is still widely cited by transportation engineers and scholars. The purpose of the research is to establish a model that can effectively predict and explain traffic flow in different scenarios and make adjustments to the increasing traffic demand.
"Even with today's advances in computing technology, there is still a lack of a comprehensive theory that fits the reality of traffic flow."
In the behavior of traffic flow, unlike simple physical movement, vehicles will show nonlinear behaviors that influence each other. These behaviors include the formation of vehicle clusters and waves, and when vehicle density increases, even small events can lead to large-scale traffic congestion. For example, when the vehicle density on a lane exceeds a critical point, even a small braking action may trigger a chain reaction ahead, resulting in a "stop-and-go" traffic situation.
Bottlenecks are one of the main factors causing traffic congestion. According to the Federal Highway Administration, about 40% of congestion is caused by traffic bottlenecks. These bottlenecks may be fixed (such as a bridge or tunnel) or floating (such as friction at a traffic light). As traffic increases, the impact of the bottleneck becomes more pronounced, further reducing the overall speed.
“Bottlenecks not only affect traffic stability, but are also the root cause of delays and potential security issues.”
Traffic flow analysis is usually based on three core variables: speed, flow and density. Free-flowing traffic generally only occurs when there are fewer than 12 vehicles per lane. Once this number is exceeded, flow becomes unstable and even jams occur, especially when the peak density reaches 185 to 250 vehicles per mile, when flow almost completely stops.
Traffic flow problem analysis can be mainly started from three levels: micro, macro and meso. These three different scales correspond to different analysis models. For example, the micro level focuses on the behavior of individual vehicles and uses ordinary differential equations to simulate the interaction between vehicles; the macro level uses partial differential equations to describe the overall flow trend. In addition, the mesoscale is used to describe the distribution probability of vehicles at a specific time and location. These methods allow traffic engineers to have a more comprehensive understanding of the operation of traffic flow.
With accelerating urbanization and population growth, future transportation challenges will increase. How to effectively reduce traffic congestion and improve transportation efficiency has become the top priority for urban planners around the world. Engineers and planners must rely on modern technologies, such as Intelligent Transport Systems (ITS) and big data analytics, to obtain real-time traffic information to develop more effective traffic management strategies and avoid common bottlenecks. In addition, continuously improving the convenience and comfort of the public transportation system is also an important way to reduce traffic pressure.
As technology continues to advance, is it possible to find a perfect solution that will eliminate congestion forever?