Smart traffic system and method based on big data co-construction and sharing
A smart transportation and big data technology, which is applied in the traffic control system of road vehicles, traffic control system, traffic flow detection, etc., can solve the problems of low operating efficiency of the traffic system, inability to provide accurate suggestions for vehicles, and inability to predict road traffic conditions, etc.
Active Publication Date: 2021-11-19
深圳提亚数字科技有限公司
View PDF5 Cites 5 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0003] Through the intelligent transportation system in the prior art, people can obtain real-time congestion information of travel roads, and can avoid congested road sections on their travel roads according to the congestion information, thereby avoiding excessive travel time due to road congestion. However, when people obtain information about road conditions, road congestion has already occurred. Therefore, the existing intelligent transportation system plays a limited role in optimizing travel time. In addition, the existing intelligent transportation system only has the ability to display real-time The capability of road condition information, but it is impossible to predict the traffic situation of the road in advance, and it is also impossible to provide accurate suggestions for vehicle driving routes according to different people's travel plans, resulting in low operating efficiency of the traffic system
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0025] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0026] It can be understood that the terms "first", "second" and the like used in the present application may be used to describe various elements herein, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish one element from another element. For example, a first xx script could be termed a second xx script, and, similarly, a second xx script could be termed a first xx script, without departing from the scope of the present application.
[0027] In the present invention, the vehicles share their own travel information, and then form...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention is suitable for the technical field of smart traffic, and particularly relates to a smart traffic system and method based on big data co-construction and sharing, and the method comprises the steps: acquiring the driving path information from a vehicle; constructing a traffic travel prediction map according to the driving path information, counting an expected passing vehicle value of each road, and dividing the roads into low-occupancy-rate roads and high-occupancy-rate roads; analyzing the traffic trip prediction map, and judging whether a vehicle trip route contained in the driving path information passes through a high-occupancy-rate road or not; if the vehicle passes through the high-occupancy-rate road, generating guidance route information according to a traffic trip prediction map; in the vehicle driving process, correcting the traffic trip prediction map in real time, and adjusting the guidance route information based on the corrected traffic trip prediction map. The traffic trip prediction map is formed by obtaining the trip information shared by the vehicle, and the traffic conditions of all roads at different time can be predicted. And guidance suggestions are provided for vehicle travel.
Description
technical field [0001] The invention belongs to the technical field of intelligent transportation, and in particular relates to an intelligent transportation system and method based on big data co-construction and sharing. Background technique [0002] Smart transportation makes full use of technologies such as the Internet of Things, cloud computing, artificial intelligence, automatic control, and mobile Internet in the field of transportation to control and support all aspects of traffic management, transportation, public travel, and the entire process of traffic construction management. , so that the traffic system has the capabilities of perception, interconnection, analysis, prediction, and control in regions, cities, and even larger time and space, so as to fully guarantee traffic safety, maximize the efficiency of traffic infrastructure, and improve the operating efficiency and management level of the traffic system. Smooth public travel and sustainable economic devel...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/0968G08G1/0969G06Q10/04G06Q50/30
CPCG08G1/0129G08G1/0137G08G1/0145G08G1/096833G08G1/0969G06Q10/04G06Q50/40
Inventor 田继伟
Owner 深圳提亚数字科技有限公司