Boarding Alighting Counting in Different Transit Vehicles under Crowded Conditions

Rawat, Nishtha; Jeengar, Kuldeep; Agarwal, Amit; Kaur Chahal, Rishman Jot

doi:10.1109/conecct62155.2024.10677074

2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) 2024

DOI: 10.1109/conecct62155.2024.10677074

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Boarding Alighting Counting in Different Transit Vehicles under Crowded Conditions

Nishtha Rawat,

Kuldeep Jeengar,

Amit Agarwal

et al.

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A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning

Radovan,

Mršić,

Đambić

et al. 2024

Eng

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The accurate counting of passengers in public transport systems is crucial for optimizing operations, improving service quality, and planning infrastructure. It can also contribute to reducing the number of public transport lines where a high number of vehicles is not needed in certain periods during the year, but also by increasing the number of lines where the need is increased. This paper provides a comprehensive review of current methodologies and technologies used for passenger counting, without the actual implementation of the automatic passenger counting system (APC), but with a proposal based on image processing and machine learning techniques and concepts, since it represents one of the most used approaches. The research explores various technologies and algorithms, like card swiping, infrared, weight and ultrasonic sensors, RFID, Wi-Fi, Bluetooth, LiDAR, thermos cameras, including CCTV cameras and traditional computer vision methods, and advanced deep learning approaches, highlighting their strengths and limitations. By analyzing recent advancements and case studies, this review aims to offer insights into the effectiveness, scalability, and practicality of different passenger counting solutions and offers a solution proposal. The research also analyzed the current General Data Protection Regulation (GDPR) that applies to the European Union and how it affects the use of systems like this. Future research directions and potential areas for technological innovation are also discussed to guide further developments in this field.

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A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning

Radovan,

Mršić,

Đambić

et al. 2024

Eng

View full text Add to dashboard Cite

show abstract

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Boarding Alighting Counting in Different Transit Vehicles under Crowded Conditions

Cited by 1 publication

References 9 publications

A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning

A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning

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