Crowd-sourcing-based intelligent car-pooling method for taxies

A taxi and intelligent technology, applied in the field of transportation and communication, which can solve the problems of not considering the extension of vehicle arrival time, impairing the practicability of the carpooling system, and limiting the scope of application.

Active Publication Date: 2014-10-01
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0004] However, most of the existing taxi carpooling systems mostly have the following disadvantages: the carpooling algorithm is based on the distance between the taxi and the passenger, which can

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  • Crowd-sourcing-based intelligent car-pooling method for taxies

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Embodiment Construction

[0064] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0065] Please also see figure 1 and figure 2 .

[0066] This embodiment provides a taxi intelligent carpooling method based on crowd intelligence.

[0067] There are three user roles in this embodiment. One is the taxi driver, whose main task is to upload vehicle driving information during the driving process, including the vehicle GPS positioning position and the time when it arrives at the intersection. When the passengers in the taxi are successfully matched, the taxi driver's client will ...

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Abstract

The invention provides a crowd-sourcing-based intelligent car-pooling method for taxies. The intelligent car-pooling method includes the following steps that taxi client sides collect taxi travelling data and upload the data to a server; the server stores road condition information for all road sections; passenger client sides obtain own positions and destinations and upload the own positions and the destinations to the server; the server searches for car-pooling combinations and matches suitable users; the server sends matching information to one matched taxi client side and two matched passenger client sides; the passengers verify the matching result; the passengers complete the car-pooling process and report the process to the server. The crowd-sourcing technology is adopted, the information including vehicle positions and the like is collected through the client sides of taxi drivers, traffic conditions of all the road sections are obtained by the server through statistics, and a system can dynamically adapt to real-time traffic changes; an adopted algorithm allows car-pooling among the passengers whose starting points and the destinations are not adjacent, so that the car-pooling range of the users is effectively enlarged, and the success rate of car-pooling of the users is increased.

Description

technical field [0001] The present invention relates to the technical field of transportation and communication, in particular to a taxi intelligent carpooling method based on crowd intelligence. Background technique [0002] With the rapid development of the modern transportation industry, the taxi industry has become an important part of people's daily life. However, there is a problem that passengers are difficult to take a taxi in a street or a remote street during peak hours in the traditional way of soliciting taxis, which consumes a lot of waiting time. In order to solve this problem, many taxi sharing systems based on carpooling have been proposed. [0003] After searching the existing technical literature, it was found that "A Framework for dynamic car and taxi pools with The use of Positioning Systems" proposed a location-based taxi sharing system; Po-Yu Chen et al. from Tsinghua University in Taiwan published "A Fuel-Saving and Pollution-Reducing Dynamic Taxi-S...

Claims

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Application Information

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IPC IPC(8): G08G1/00
Inventor 于拓张利钦刘天元甘小莺田晓华王新兵
Owner SHANGHAI JIAO TONG UNIV
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