Method for selecting bus trip route

Abstract

The invention discloses a method and a system for selecting a bus trip route. The method comprises the following steps of: selecting at least one of trip time Trt, waiting time Twt, crowdedness degree c and transfer frequency H as a factor considered in a trip scheme; inputting a starting point and a terminal point, determining possible trip schemes, and calculating the transfer frequency H of each trip scheme; establishing an analytic function of each factor according to collected trip data, and obtaining an index quantification value of each factor by employing a linear regression method; establishing a trip scheme analysis model; acquiring a comprehensive index quantification value F corresponding to each trip scheme; sorting the comprehensive index quantification values F according to a sequence from the highest to the lowest; and determining the highest value F to serve as the trip scheme.

Description

technical field [0001] The invention relates to the field of intelligent transportation, and more particularly relates to a method and a system for analyzing bus travel routes. Background technique [0002] In order to reduce energy consumption, improve the urban environment, and increase the utilization rate of urban roads, countries around the world have widely implemented the "public transportation priority" policy, and the number of public transportation and public transportation stations have continued to increase. However, it is difficult for passengers to make effective choices for public transport travel plans due to the lack of comprehensive public transport information, resulting in wasted travel time and increased traffic costs. In order to reduce the blindness of passengers in choosing a bus travel plan and improve the service level of public transport, it is very meaningful to study the problem of bus passenger travel plan selection. [0003] According to the c...

AI Technical Summary

Problems solved by technology

Mainly reflected in: First, these two methods only comprehensively analyze the indicators of public transport from the theoretical aspect, without considering the actual needs of passengers, and without combining practical procedures and software development

Second, the two types of methods are mainly aimed at assigning values ​​to various self-defined indicators through mathematical methods, which are relatively mechanized and impersonal, and do not use real-time traffic information to adjust the analysis mechanism

Therefore, the selection and weight assignment of bus indicators in the existing bus travel plan does not take into account the actual needs of passengers, resulting in poor practicability, and the weight of each indicator cannot be corrected with real-time collected information, which seriously damages the Reliability of Analytical Results

Images