Highway travel time prediction system and prediction method

A travel time and expressway technology, which is applied in the traffic control system of road vehicles, traffic control system, traffic flow detection, etc. question

Active Publication Date: 2017-07-11
SHENZHEN URBAN TRANSPORT PLANNING CENT +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology uses past journey times from vehicles on specific roads or lanes during different stages of road construction to make it easier than traditional methods like calculating distance between points along the route based solely upon their speed.

Problems solved by technology

This patented technical problem addressed in this patents relates to accurately estimating the arrival times or departures during transit vehicles passing over different roads within one metropolitan area without being affected negatively due to factors like weather patterns and other variables affecting their movement. Existing methodologies have limitations because they require long periods of time before reaching certain points along the way, making them unreliable when needed again later.

Method used

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  • Highway travel time prediction system and prediction method
  • Highway travel time prediction system and prediction method
  • Highway travel time prediction system and prediction method

Examples

Experimental program
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no. 1 example

[0050] Such as figure 1 As shown, the expressway travel time prediction system of this embodiment includes a database 10 , a K value determination unit 20 and a travel time prediction value determination unit 30 .

[0051] The vehicle travel time and traffic condition data association table of the floating vehicle passing through the target expressway to be predicted is preserved completely in the database 10, and the vehicle travel time and traffic condition data association table of the floating vehicle can be collected and stored in advance by the traffic information management center, etc. into database 10.

[0052] The K value determination unit 20 takes m travel time and traffic condition data association tables from the database as test data, and takes a certain number of travel time and traffic condition data association tables as training data from the database in addition, the test The data and the training data do not overlap each other, and the K travel times clos...

no. 2 example

[0072] Such as image 3 As shown, compared with the expressway travel time prediction system of the first embodiment, the freeway travel time prediction system of this embodiment includes, in addition to the database 10, the K value determination unit 20 and the travel time prediction value determination unit 30, The expressway segment relationship table generating unit 40, the vehicle travel time information table generating unit 50, the expressway segment travel speed table generating unit 60, and the vehicle travel time and traffic condition data association table generating unit 70 collect and generate relevant data by themselves.

[0073] After the expressway section relationship table generation unit 40 determines the research object (such as the airport expressway, towards the airport direction), it can utilize the self-contained or external geographic information system to screen the list of sections forming the expressway, and set up the list of highway sections includ...

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Abstract

The invention provides a highway travel time prediction system. The system comprises a database, a K-value determination unit, and a travel time predicted value determination unit; the database is used for saving travel times of vehicles completely passing through a target highway and a traffic condition data association list; the K-value determination unit searches K travel times which are closest to the current traffic condition from training data, regards an average value of the K travel times as a training predicted value Ft (K) of the travel times of the target highway, calculates a MAPE (mean absolute percentage error) value of the travel time corresponding to each K value in sequence according to the formula (1), and regards the K value with the minimum MAPE value as a K determination value for predicting the travel time, wherein K value is increased from 3; and the travel time predicted value determination unit determines an average value of K-determination-value travel times which are closest to the current traffic condition in the training data as a travel time predicted value. Compared with the prior art, according to the scheme of the system and method, visualization and simplicity are realized, and the prediction precision is high.

Description

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Claims

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Application Information

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Owner SHENZHEN URBAN TRANSPORT PLANNING CENT
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