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Intelligent traffic flow management method based on improved SSD

A management method and intelligent transportation technology, applied in traffic flow detection, road vehicle traffic control system, traffic control system, etc., can solve the problem of inability to flexibly adjust the waiting time of traffic lights, so as to alleviate traffic congestion and reduce computing power. The effect of reducing traffic congestion

Active Publication Date: 2021-05-25
ZUNYI NORMAL COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the traffic signal waiting time that cannot be flexibly adjusted during the peak traffic flow, to alleviate the technical problem of traffic congestion, the present invention provides an intelligent traffic flow management method based on improved SSD

Method used

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  • Intelligent traffic flow management method based on improved SSD
  • Intelligent traffic flow management method based on improved SSD
  • Intelligent traffic flow management method based on improved SSD

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] Intelligent traffic flow management method based on improved SSD, such as figure 1 shown, including the following steps:

[0049] Step S1, designing a basic network. In this embodiment, the basic network adopts the Resenet-50 basic network, and the number of convolution kernels from fc6 to conv9 in the basic network is reduced to half of the original.

[0050] Step S2, collecting picture samples, dividing the picture samples into a training set and a test set, and initializing the picture samples in the training set. Specifically, 80% of the collected picture samples are used as a training set, 20% of the picture samples are used as a test set, and target marks are performed on the picture samples in the training set according to the preset car classification rules. In the present embodiment, vehicles are divided into six categories: cars, taxis, vans, trucks, buses and motorcycles.

[0051] Step S3, under the initial network, perform neural network training on the t...

Embodiment 2

[0058] The difference with Embodiment 1 is that: if Figure 4 shown, also includes:

[0059] In step S4, it also includes collecting images of the flow of people through a camera arranged on the detection road section.

[0060] Step S8, performing image analysis on the image of the flow of people to obtain the flow of people. In this embodiment, step S8 also includes performing image analysis on the image of the flow of people, and counting the waiting time of the flow of people when the obtained flow of people is not zero;

[0061] Step S9, according to the preset traffic signal light adjustment rule, dynamically adjust the switching and countdown display of the traffic signal light according to the flow of people during the peak time of traffic flow. In order to avoid the situation of crowd congestion, but when the waiting time of the people waiting to pass is too long, step S9 also includes dynamically adjusting the switching and countdown display of the traffic lights ac...

Embodiment 3

[0063] The difference from Embodiment 1 is that: step S9 is also included;

[0064] Step S10, collect the images of the traffic conditions of the main roads entering the intersection and leaving the intersection by respectively arranging the cameras on the main road entering the intersection and leaving the intersection;

[0065] Step S11, the traffic flow status images of the main roads entering the intersection and leaving the intersection are respectively analyzed by the traffic flow classification detection model, and the traffic flow classification detection information of the main roads entering the intersection and leaving the intersection are obtained;

[0066] Step S12, compare and analyze the traffic flow classification detection information of the main road entering the intersection and the main road leaving the intersection. Compared with the driving direction of the main road, the prompt information is generated, and the prompt information is sent to the terminal ...

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Abstract

The invention relates to the technical field of intelligent traffic, and particularly discloses an intelligent traffic flow management method based on an improved SSD, and the method comprises the steps: S4, collecting a traffic flow condition image through a camera disposed at a detection road section; and S5, carrying out traffic flow classification analysis on the collected traffic flow condition image through a traffic flow classification detection model to obtain traffic flow classification detection information. S6, performing analysis according to the traffic flow classification detection information to obtain traffic flow peak time and a vehicle type with the maximum traffic flow; and S7, adjusting switching and countdown display of intersection signal lamps of the detected road section and traffic signal lamp display vehicle passing duration according to the traffic signal lamp adjusting rule and the traffic flow type of the maximum traffic flow during the peak time of the traffic flow of the detected road section. By adopting the technical scheme of the invention, the waiting time of the traffic lights can be purchased and adjusted at the peak traffic flow, and the traffic jam condition is relieved.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to an intelligent transportation vehicle flow management method based on an improved SSD. Background technique [0002] The normal operation of the traffic system only needs to divert the vehicles in the road section to ensure the smoothness of the road section. There are two main categories of traditional traffic systems: 1. Install pressure sensors under specific road sections. When vehicles pass by, the pressure sensors feel the pressure of the vehicles and perform counting statistics; 2. Use such as ultrasonic, infrared and radio frequency signals, etc., When a vehicle enters the relevant area, the detector emits relevant pulses and counts them. Among these two systems, the first type will destroy the integrity of the ground when the pressure sensor is installed, and when there are frequent vehicles passing by, the life of the system is not very long, and the...

Claims

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Application Information

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IPC IPC(8): G08G1/065G08G1/01
CPCG08G1/065G08G1/0108G08G1/0133G08G1/0137
Inventor 敖邦乾令狐金卿曲祥君陈连贵
Owner ZUNYI NORMAL COLLEGE
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