Passenger load prediction systems and methods for predicting passenger load

Patent metadata

Field	Value
Publication number	US-2019124619-A1
Application number	US-201616086966-A
Country	US
Kind code	A1
Filing date	Jul 27, 2016
Priority date	Jul 27, 2016
Publication date	Apr 25, 2019
Grant date	—

Abstract

According to various embodiments, there is provided a passenger load prediction system including: a component configured to detect a wireless device carried by a passenger on a train or a train station platform, the train including a plurality of train cars; a passenger to train car mapper configured to determine a location of the passenger, based on a location of the wireless device; a destination predictor configured to predict a destination of the passenger, based at least in part on an identifier code of the wireless device; and a train car load level estimator configured to predict a respective passenger load of each train car of the plurality of train cars, based on the predicted destination and further based on the determined location of the passenger.

First claim

1 . A passenger load prediction system comprising:
a component configured to detect a wireless device carried by a passenger on a train or a train station platform, the train comprising a plurality of train cars; a passenger to train car mapper configured to determine a location of the passenger, based on a location of the wireless device; a destination predictor configured to predict a destination of the passenger, based at least in part on an identifier code of the wireless device; and a train car load level estimator configured to predict a respective passenger load of each train car of the plurality of train cars, based on the predicted destination and further based on the determined location of the passenger.

2 . The passenger load prediction system of claim 1 , wherein the wireless device comprises a route search application configured to receive user inputs indicating a desired destination.

3 . The passenger load prediction system of claim 2 , wherein the destination predictor is configured to predict the destination of the passenger based on the desired destination.

4 . The passenger load prediction system of claim 1 , wherein the location of the passenger is indicated as one train car of the plurality of train cars, where the passenger boarded the train.

5 . The passenger load prediction system of claim 1 , further comprising a wireless router, wherein the wireless router is configured to detect a plurality of wireless devices of different passengers and further configured to retrieve the identifier code of each wireless device of the plurality of wireless devices.

6 . The passenger load prediction system of claim 1 , further comprising a plurality of platform wireless routers, each platform wireless router of the plurality of platform wireless routers positioned at a respective train station.

7 . The passenger load prediction system of claim 6 , wherein the passenger to train car mapper is configured to determine the location of the passenger by triangulating the wireless device with respect to at least one platform wireless router of the plurality of platform wireless routers.

8 . The passenger load prediction system of claim 1 , further comprising a plurality of on-car wireless routers, each on-car wireless router of the plurality of on-car wireless routers positioned at a respective train car of the plurality of train cars.

9 . The passenger load prediction system of claim 8 , wherein the passenger to train car mapper is configured to determine the location of the passenger by detecting the wireless device using one on-car wireless router of the plurality of on-car wireless routers.

10 . The passenger load prediction system of claim 1 , further comprising a passenger origin-destination mapper configured to obtain a journey database of the passenger based on historical records of wireless devices connected to a wireless router positioned at one train station or one train car of the plurality of train cars, the journey database comprising a start point and an end point of each journey matched with the identifier code of the wireless device.

11 . The passenger load prediction system of claim 10 , wherein the passenger origin-destination mapper is configured to match historical records of wireless devices having common identifier codes detected during predetermined travel intervals on different days of the week, to determine the start point and the end point of each journey of the passenger.

12 . The passenger load prediction system of claim 1 , wherein the train car load level estimator is configured to predict the respective passenger load of each train car of the plurality of train cars, further based on a respective weight load of each train car obtained using weight sensors on the train cars.

13 . The passenger load prediction system of claim 1 , further comprising a train car crowd level notifier configured to generate notifications based on the predicted respective passenger load of each train car.

14 . The passenger load prediction system of claim 1 , further comprising a passenger load distributor configured to compute an optimal distribution of further passengers to each train car, based on the predicted respective passenger load of each train car and further based on identification of passengers travelling as a group, wherein the identification of passengers travelling as a group is obtained from historical records of identifier codes of wireless devices which simultaneously undertook common journeys.

15 . A passenger load prediction system comprising:
a component configured to detect a wireless device carried by a passenger on a train or a train station platform, the train comprising a plurality of train cars; a passenger to train car mapper configured to determine a location of the passenger, based on a location of the wireless device, wherein the wireless device comprises a route search application configured to receive user inputs indicating a desired destination; a destination predictor configured to predict a destination of the passenger, based at least in part on the desired destination; and a train car load level estimator configured to predict a respective passenger load in each train car of the plurality of train cars, based on the predicted destination and further based on the determined location of the passenger.

Assignees

• Hitachi Ltd

Inventors

• Arumugam Rajesh Vellore
• Lin Wujuan
• Kudo Yutaka
• Yi Su Hnin Wut

Classifications

• H04W28/0226

  based on location or mobility (handoff or reselection H04W36/00; mobile application services making use of the location of users or terminals H04W4/02) · CPC title

• G01C21/34

  Route searching; Route guidance · CPC title

• H04W64/006 Primary

  with additional information processing, e.g. for direction or speed determination · CPC title

• H04W4/024

  Guidance services · CPC title

• H04W4/029

  Location-based management or tracking services · CPC title