System for proactively solving urban traffic congestion

Abstract

Disclosed is a system for proactively solving urban traffic congestion. Traffic conditions are forecast in a mode of collecting travel information of travelers, and the travelers are enabled to actively avoid a busy section. The operation process of the system is that a large amount of travelers send departure place information and destination information to an information processing center through a navigation client or a mobile phone, and monitor and analyze the traffic conditions through a real-time traffic monitoring and analysis system, the information processing center calculates a static shortest path and a real-time least-time path according to received departure place data and destination data, and a real-time optimal path analysis system carries analysis and calculation according to departure places and destinations sent by a large amount of travelers by combining with an urban road network, screens out a hub and a section with huge traffic flow in a period of time in future, identifies busy degree to each key node and each section according to the size of the traffic flow, carries out route optimization analysis by combining with the static shortest path, the real-time least-time path and the busy degrees of key nodes and sections, obtains an optimal path, and sends the optimal path to the travelers.

Description

technical field [0001] The invention relates to the technical field of urban traffic, in particular to a system for proactively solving urban traffic congestion. Background technique [0002] The problem of urban traffic congestion has become a problem of national economy and people's livelihood. In large and medium-sized cities, traffic congestion and its resulting time waste, rising operating costs, increased traffic accidents, and intensified environmental pollution have brought a lot of inconvenience to people's life and work, and seriously hindered the sustainable and healthy development of the city. Therefore, it is urgent to study and solve the problem of urban traffic congestion and plan and design new traffic schemes. [0003] At present, the urban traffic management methods adopted in my country are mainly in the following categories: First, optimize road planning to make road traffic more scientific and reasonable, so as to achieve easy management and solve traff...

AI Technical Summary

Problems solved by technology

To renovate the old urban area based on the purpose of improving traffic congestion, the investment is huge and the effect is little

The second is to implement restrictive measures, such as restricting the number of vehicles, restricting the type of license plate for travel, etc. This method only treats the symptoms but not the root cause. It only prolongs the time of traffic congestion and does not fundamentally solve the problem of traffic congestion.

The disadvantages are: 1. The investment is huge, and a large number of sensors and related software systems need to be arranged; 2. Although the real-time monitoring of traffic flow is faster and more accurate, it is impossible to determine the destination of the vehicle, which makes it possible to judge the existence of future congested areas. Uncertainty; 3. If everyone receives the same information, the predictive system may overreact. When it tells people that there may be congestion in one place, as a result, people go another way, and there will be traffic instead. create a new blockage

4. Although the system has the function of collecting travelers' travel plans, it has not been applied as a key point. The objects and data collected are small, and the initiative is not strong, so it is difficult to achieve the purpose of forward-looking prediction

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