Server-Based Intelligent Public Transportation System with NFC

Alan, Ufuk Demir; Birant, Derya

doi:10.1109/mits.2017.2776102

Cited by 24 publications

(8 citation statements)

References 21 publications

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“…When a device with NFC functionalities appears in the reader's working range, which can be placed at the station gates or at any other fixed access point, it "wakes up" and sends a signal containing encoded data. Finally, it should be observed that RFID and NFC technologies are used in traditional and emerging AFC systems for electronic ticketing, such as MIFARE contactless cards or mobile-based payment systems [133], which can also be employed for passenger counting. For these applications, privacy is characterized by the ability of unauthorized users to trace RFID and NFC devices using their responses to readers' interrogations.…”

Section: H Device-aided Rf Sensingmentioning

confidence: 99%

Sensing Technologies for Crowd Management, Adaptation, and Information Dissemination in Public Transportation Systems: A Review

Darsena¹,

Gelli²,

Iudice³

et al. 2022

Preprint

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<p>Management of crowd information in public transportation (PT) systems is crucial, both to foster sustainable mobility, by increasing the user's comfort and satisfaction during normal operation, as well as to cope with emergency situations, such as pandemic crises, as recently experienced with COVID-19 limitations. This paper presents a taxonomy and review of sensing technologies based on Internet of Things (IoT) for real-time crowd analysis, which can be adopted in the different segments of the PT system (buses/trams/trains, railway/metro stations, and bus stops). To discuss such technologies in a clear systematic perspective, we introduce a reference architecture for crowd management, which employs modern information and communication technologies (ICT) in order to: (i) monitor and predict crowding events; (ii) implement crowd-aware policies for real-time and adaptive operation control in intelligent transportation systems (ITSs); (iii) inform in real-time the users of the crowding status of the PT system, by means of electronic displays installed inside vehicles or at bus stops/stations, and/or by mobile transport applications. It is envisioned that the innovative crowd management functionalities enabled by ICT/IoT sensing technologies can be incrementally implemented as an add-on to state-of-the-art ITS platforms, which are already in use by major PT companies operating in urban areas. Moreover, it is argued that, in this new framework, additional services can be delivered to the passengers, such as, e.g., on-line ticketing, vehicle access control and reservation in severely crowded situations, and evolved crowd-aware route planning.</p>

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Section: H Device-aided Rf Sensingmentioning

confidence: 99%

Sensing Technologies for Crowd Management, Adaptation, and Information Dissemination in Public Transportation Systems: A Review

Darsena¹,

Gelli²,

Iudice³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…When a device with NFC functionalities appears in the reader's working range, which can be placed at the station gates or at any other fixed access point, it "wakes up" and sends a signal containing encoded data. Finally, it should be observed that RFID and NFC technologies are used in traditional and emerging AFC systems for electronic ticketing, such as MIFARE contactless cards or mobile-based payment systems [114], which can also be employed for passenger counting.…”

Section: H Device-aided Rf Sensingmentioning

confidence: 99%

Enabling and Emerging Sensing Technologies for Crowd Management in Public Transportation Systems: A Review

Darsena¹,

Gelli²,

Iudice³

et al. 2021

Preprint

View full text Add to dashboard Cite

Management of crowd information in public transportation (PT) systems is crucial to foster sustainable mobility, by increasing the user’s comfort and satisfaction during normal operation, as well as to cope with emergency situations, such as pandemic crises, as recently experienced with COVID-19 limitations. This paper presents a taxonomy and review of sensing technologies based on Internet of Things (IoT) for real-time crowd analysis, which can be adopted in various segments of the PT system (buses/trams/trains, railway/subway stations, and bus stops). To discuss such technologies in a clear systematic perspective, we introduce a reference architecture for crowd management, which employs modern information and communication technologies (ICT) in order to: (i) monitor and predict crowding events; (ii) adapt in real-time PT system operations, by modifying service frequency, timetables, routes, and so on; (iii) inform in real-time the users of the crowding status of the PT system, by means of electronic displays installed inside vehicles or at bus stops/stations, and/or by mobile transport applications. It is envisioned that the innovative crowd management functionalities enabled by ICT/IoT sensing technologies can be incrementally implemented as an add-on to traditional intelligent transportation system (ITS) platforms, which are already in use by major PT companies operating in urban areas. Moreover, it is argued that, in this new framework, additional services can be delivered, such as, e.g., on-line ticketing, vehicle access control and reservation in severely crowded situations, and evolved crowd-aware route planning.

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“…In recent years, novel machine learning techniques as well as latest technologies like contactless bank cards and Near Field Communication (NFC) have been employed in transit systems [7], for fare payment and/or passenger count. More recently, deep learning has been used for a tour bus seat selection.…”

Section: Literature Reviewmentioning

confidence: 99%

Low‐cost bus seating information technology system

Murdan

Bucktowar

Oree

et al. 2020

IET intell. transp. syst

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Public transport operators often struggle to provide a reliable and efficient transport service. A lack of comprehensive real-time operational data is often cited as a major cause for this state of things. In this paper, we report on the design, implementation and testing of an Internet of Things-based system, named Bus Seating Information Technology (BusSIT) system, which dynamically determines vehicle occupancy while the bus is in service. It uses an array of sensors for detecting events in the vehicle: infrared sensors ascertain whether passengers are entering and leaving the bus; force sensitive resistors facilitate seatoccupancy detection; a Global Positioning System shield in conjunction with a Raspberry Pi 4 microcomputer enable real-time tracking of the bus; and a USB camera connected to the same Raspberry Pi assist in cross-checking and validating the preceding information. The data collected is uploaded to an online IoT platform (thinger.io), through 3G or 4G if available, and can be visualized via an android app as well as through a desktop computer user interface. The planned functions of the system were tested in a 20-seater bus. Results showed that the system is able to track the vehicle location, as well as vehicle occupancy in realtime in most cases.

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Server-Based Intelligent Public Transportation System with NFC

Cited by 24 publications

References 21 publications

Sensing Technologies for Crowd Management, Adaptation, and Information Dissemination in Public Transportation Systems: A Review

Sensing Technologies for Crowd Management, Adaptation, and Information Dissemination in Public Transportation Systems: A Review

Enabling and Emerging Sensing Technologies for Crowd Management in Public Transportation Systems: A Review

Low‐cost bus seating information technology system

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