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A Method of Public Traffic Insight Service with Station based on Passenger Footprint Tracking Record

IP.com Disclosure Number: IPCOM000249311D
Publication Date: 2017-Feb-16
Document File: 4 page(s) / 171K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method for a subway station oriented public traffic insight service based on a passenger footprint tracking system.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 38% of the total text.

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A Method of Public Traffic Insight Service with Station based on Passenger Footprint Tracking Record

This article addresses public traffic analytics. A city traffic management team needs a better way to monitor and manage local traffic to provide better transportation services to the public. A city public safety and security team needs a better way to filter out a certain person’s or group’s movement patterns.

Public traffic data management is faced with several challenges. A method is needed to enable centralized management of traffic data, including centralized access to both traffic data stored in the data centers of different stations and traffic management application systems. In addition, a method is needed to optimize the utilization of massive data. Station monitoring data must be stored for as long as possible to provide information and support to public security, criminal investigation, economic investigation, and front-line police departments. Further, to improve traffic flow across the city, an enhanced dispatch capability is needed that can manage various kinds of emergencies and accurately forecast traffic patterns.

In addition to the above challenges, changing passenger behaviors, evolving city needs, and changing technologies are reshaping the landscape for public transportation services. Achieving high quality public traffic insight depends on going beyond the basics of reducing costs, increasing service quality, and improving on-time performance to require innovative approaches to improving demand and optimizing capacity, and developing business models that are more appropriate to the changing needs of the public.

For example, current traffic analysis methods and systems cannot provide data to list: · All passengers that passed station-X 5 times a day · All passengers that switch line 6 to line 10 at station-Y in certain time · Two passengers that meet at station-Z every morning and take the same cart · All passengers staying on a certain route and line more than 12 hours

The core idea defines a method for a subway station oriented public traffic insight service based on a passenger footprint tracking system.

The core components and capabilities of the solution include: · Subway station oriented public traffic insight service · Setting certain checkpoints with a user-identifying mechanism (e.g., readers and

sensors of Near Field Communication (NFC)/Radio Frequency Identification (RFID)/Biometric devices, etc.) on subway stations

· Registering each passenger and correlated identification data, and saving the registered records

· Identifying passengers and recording passengers' footprint at every defined checkpoint

· Recognizing when and where the passenger arrives/passes/stays at a certain station and the duration of the movement

· Maintaining two footprint lists in the passenger footprint repository: - Child footprint list (daily): records all the footprints (passed station with

inbound and outbound ) for each passenger

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