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Smart mass transportation balancing system

IP.com Disclosure Number: IPCOM000222138D
Publication Date: 2012-Sep-20
Document File: 5 page(s) / 177K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a Smart mass transportation balancing system which includes 2 parts, Carriage Control System (CCS) and Platform Control System (PCS), being respectively setup on the train and platform. Public transit system usually crams people in unbalanced situation. This problem results in time wasting when the people get on or get off the train. The disclosed smart mass transportation balancing system is trying to make the best usability of the vehicle space and shorten the waiting time for carts in each station.

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Smart mass transportation balancing system

    1. Background: Public transit system such as shuttle train, subway, or Mass Rapid Transit (MRT) usually crams people in unbalanced situation. Some carriages are too crowded but the others are empty. It makes the distribution of passengers in the whole vehicle not even and results in time wasting when the people get on/off the carriages which is already crowded. Currently, the solution used to address this problem does not exist. The disclosure is trying to solve the problem and make the best usability of the vehicle space and shorten the waiting time for carts in each station.

    2. Description of the Disclosure: The system is divided in 2 parts which are respectively setup on the train and platform: A. Carriage Control System (CCS); and B. Platform Control System (PCS)

    A. Carriage Control System (CCS), on the train: This disclosure starts from setting up a video camera system on each carriage to have a rough calculation of the amount of passengers in each carriage. Amount of passengers in each carriages are accumulated in a centered computer mounted on the whole train. The centered computer will then try to balance the amount of passengers in each carriage and suggest passengers located in crowded carriage moving to lesser crowded carriages adjacent to them.

(Figure 1)

The CCS system starts by capturing image from each carriages. The images

are sent directly to the CCS for image processing. CCS image processing system then use methodology such as (http://www.google.com/patents/US20100322516) to calculate the rough amount of people in each carriage. The number of each carriage is recorded and used to calculate a even distribution between each carriage. CCS will then suggest passengers in crowded carriage to move to adjacent carriage which is not so crowded.

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(Figure 2)

    In Figure 3, we can see the carriage A is more crowded than other carriages, especially carriage C. Hence, CCS would start processing in order to reduce the crowded situation in carriage A.

At step 1, the camera in each carriage captures the image and sends it to the central system, CCS.


At step 2, CCS would use the information provided by all the images and then

calculate the suggested moving direction of each carriage for passengers. For example, passengers in carriage A will be suggested to move to carriage B and passengers in carriage B will be suggested to move to carriage C.


At step 3, CCS would broadcast in some carriages, such as carriage A and

carriage B. Then, some passengers will start to move to the adjacent carriage. Finally, the crowded situation at carriage A is reduced, and the capacity...