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Passenger demand prediction method and taxi taking path planning method

A technology of demand forecasting and route planning, applied in the fields of taxi route planning and passenger demand forecasting, it can solve problems such as low travel efficiency, and achieve the effect of facilitating passengers and drivers, saving resources and improving passenger carrying efficiency.

Pending Publication Date: 2022-01-28
CHENGDU TECHCAL UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a passenger demand forecasting me

Method used

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  • Passenger demand prediction method and taxi taking path planning method
  • Passenger demand prediction method and taxi taking path planning method
  • Passenger demand prediction method and taxi taking path planning method

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Embodiment 1

[0035] The technical scheme that the present invention solves the problems of the technologies described above is as follows:

[0036] The present invention provides a passenger demand forecasting method, referring to figure 1 As shown, the passenger demand forecasting method includes:

[0037] S1: Divide the target city into multiple data acquisition areas;

[0038] S2: Obtain the original passenger loading data in each data acquisition area within the preset time period;

[0039] S3: Perform preprocessing on the original passenger loading data in all the data acquisition areas to obtain preprocessing results;

[0040] S4: Using the data training model to perform a data training operation on the preprocessing result to obtain a data training result;

[0041] S5: Obtain passenger demand prediction results according to the data training results.

[0042] Optionally, refer to figure 2 As shown, the step S3 includes:

[0043] S31: Obtain all original passenger loading data...

Embodiment 2

[0058] In the present invention, Chongqing is selected as the target city, and Chongqing is divided into 1Km×1Km areas, and the number of passengers in each time period in the corresponding area is counted every half hour, and the data is trained using the LSTM model. And the prediction results are sent to the software APP for forwarding. The data set used is the GPS trajectory data of all taxis in Chongqing in March 2017.

[0059]For the entire Chongqing city, the passenger demand prediction part divides the map of Chongqing city into 1Km×1Km areas. At this time, passenger demand in different areas can be predicted. When predicting congestion information, the congestion area is often less than 500m. If the same segmentation radius is used, The smooth area and the congested area will be analyzed together, resulting in unreasonable speed statistics. Therefore, Chongqing needs to be divided into 200m*200m areas, with a total of 215,625 areas. The data is collected every 5 minu...

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Abstract

The invention discloses a passenger demand prediction method and a taxi taking path planning method. The passenger demand prediction method comprises the following steps: S1, dividing a target city into a plurality of data acquisition areas; S2, acquiring original passenger-carrying data in each data acquisition area within a preset time period; S3, preprocessing the original passenger-carrying data in all the data acquisition areas to obtain a preprocessing result; S4, performing data training operation on the preprocessing result by using a data training model to obtain a data training result; and S5, obtaining a passenger demand prediction result according to the data training result.

Description

technical field [0001] The invention relates to the technical field of traffic planning, in particular to a passenger demand prediction method and a taxi-hailing route planning method. Background technique [0002] With the development of economy and society, the continuous expansion of city scale, the significant increase of urban population and the significant increase of motor vehicle ownership, road traffic has increasingly become a topic of concern. Urban public transportation has a great influence on the development of urban politics, economy, culture and education, science and technology, and it is also a very important aspect of urban construction. Developing urban public transport and alleviating urban traffic congestion is an inevitable requirement for promoting urban sustainable development, and an important means to improve the utilization rate of traffic resources, reduce traffic pollution, and save land resources and energy. [0003] Traffic congestion is a ki...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/02G06Q50/30G06K9/62G06N3/08
CPCG06Q10/04G06Q10/047G06Q30/0202G06Q50/30G06N3/08G06N3/044G06F18/241
Inventor 刘剑丽李传学
Owner CHENGDU TECHCAL UNIV
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