Bus APP software based on passenger traveling experience

Abstract

The invention discloses bus APP software based on passenger traveling experience. Through data survey, selection acceptance grade of passengers different in gender S, age L and occupation W for arrival time T, in-vehicle passenger load factor M, out-vehicle congestion degree H and traveling time G of destinations is determined according to a structural equation model, and the structural equation model capable of analyzing and processing multiple dependent variables at the same time is adopted to calculate selection behaviors of the passengers; at the same time, APP records traveling paths of the passengers, analyzes habit features of the passengers in selecting buses and gives an optimal option for a certain travel according to the habit features of the passengers. More humanized travelingexperience is provided, the passengers can only accept running information provided in real time by the software to autonomously select paths and can allow the software to help in decision making according to own personal preference, one-button operation can be realized, and the software has more own behavior habits to make optimal choices.

Description

technical field [0001] The invention relates to the technical field of public transport, in particular to bus APP software based on passenger travel experience. Background technique [0002] Bus travel is an indispensable part of the life of urban residents. With the emergence of mobile bus APP, the informatization level of residents' bus travel has been greatly improved. Although the waiting information provided by the bus APP cannot reduce the waiting time, psychologically speaking, providing some expected bus arrival information is conducive to reducing the psychological feeling of travelers while waiting, and it is also convenient for travelers to change their travel plans in a timely manner. [0003] There are many types of existing mobile phone bus APPs, but the functions are single and the amount of query information is small, so it is difficult to meet the diverse needs of residents for buses and other vehicles. The current mobile bus APP mainly has the following sh...

AI Technical Summary

Problems solved by technology

[0004] 1. The existing APP can only provide the time from a certain line to a certain bus stop, and lacks real-time comparative analysis of the arrival time of multiple bus lines. For example, residents have 4 bus lines from point A to point B. If residents only Looking at the arrival time of a line, it may appear that the line is not the first to arrive at the station, which loses the meaning of line monitoring; some bus stops have relatively long platforms, and there are multiple boarding points inside the platforms. Some bus stops It is even divided into two platforms, A and B. When the line arriving in advance is not the monitored line (the boarding point is different), it may cause passengers to "fly" to the bus, which affects the waiting time of the bus and causes Security risks;

[0005] 2. Due to the impact of traffic congestion and queues at intersections, some bus lines will appear "cross trains", that is, the distance between the previous car and the next car on the same bus line is very close, and the existing APP has already It can be found that the two cars are very close to each other, but the occupancy rate of the two cars cannot be queried, which may lead to the phenomenon that the passengers in the front car are overcrowded, and ...

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