Urban intelligent digital neural traffic system

Abstract

The invention relates to a future urban intelligent digital neural traffic system. The intelligent traffic system is divided into three layers, wherein the upper layer is a multifunctional passage, the middle layer is a public traffic system, and the lower layer is other vehicle running passage. The concept of Internet of things is fused in different layers. The system comprises an intelligent central control system and various terminals connected with the intelligent central control system, a novel transport unit, wired and wireless communication systems for covering the whole system, a road width adjusting system, electrical energy and signal transmission systems, a solar power generation system, a rainwater purification and reutilization system, a tail gas treatment system, a parking leisure and recreation system, small systems connected with the whole system and positioned in single units, and the like. The system is a real digitization-based digital traffic multifunctional system integrating transportation and multiple functions.

Description

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AI Technical Summary

Benefits of technology

This patented technology helps plan roads efficiently by separating them into infrastructure components like streets or sidewalking areas. These systems help avoid overcrowding with people while still being able to handle heavy loads in certain parts of the country. They also have an intelligence component that improves their performance and reduces costs compared to traditional methods. Overall, this innovative solution enhances economic benefits and environmental friendliness during metropolitan operations.

Problems solved by technology

This patented technical solution described for addressing issues related to traffic congestations has been discussed earlier. However, current solutions have limitations due to lack of comprehensive understanding about how these challengings can lead to increased costs associated with travel delays, reduced vehicle capacities, poor connections among modes, incomplete allocation of available infrastructure options (such as streets), insufficiently planned routes, excessively long wait times, potential hazards from vehicular collisions, environmental concerns like greenhouse gases emissions, and difficulties navigating through complex intersections without taking into account all possible scenarios mentioned above.

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