Benchmarking the Functional, Technical, and Business Characteristics of Automated Passenger Counting Products
Open accessAbstract
Urban transport planning and the integration of various mobility options have become increasingly complex, necessitating a thorough understanding of user mobility patterns and their diverse needs. This paper focuses on benchmarking different Automatic Passenger Counting (APC) technologies, which play a key role in Mobility as a Service (MaaS) systems. APC systems provide valuable data for analysing mobility patterns and informing decisions about resource allocation. Our study presents a comprehensive data collection and benchmark analysis of APC solutions. The literature review emphasises the significance of passenger counting for transport companies and discusses various existing APC technologies, such as pressure sensors, wireless sensors, optical infrared sensors (IR), and video image technology. Real-world applications of APC systems are examined, highlighting experimental results and their potential for improving accuracy. The methodology outlines the data collection process, which involved identifying APC companies, conducting interviews with companies and customers, and administering an ad hoc survey to gather specific information about APC systems. The collected data were used to establish criteria and key performance indicators (KPIs) for the benchmarking analysis. The benchmarking analysis compares APC devices and companies based on ten criteria: technology, accuracy, environment, coverage, interface, interference, robustness (for devices), price, pricing model, and system integration (for companies). KPIs were developed to measure performance and make comparison easier. The results of the benchmarking analysis offer insights into the costs and accuracy of different APC systems, enabling informed decision making regarding system selection and implementation. The findings fill a research gap and provide valuable information for transport companies and policy makers, and we offer a comprehensive analysis of APC systems, highlighting their strengths, weaknesses, and business strategies. The paper concludes by discussing limitations and suggesting future research directions for APC technologies.
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Benchmark analysis of APC solutions based on ten criteria showed that most APC systems advertise accuracies of 95% or higher according to company datasheets.
“Benchmark analysis of APC solutions based on ten criteria: technology, accuracy, environment, coverage, interface, interference, robustness (for devices), price, pricing model, and system integration for companies [100] showed that most APC systems advertise accuracies of 95% or higher according to company datasheets.”
From A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning (2024) · cites this paper as [100]
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- Authors
- Pronello, C., Baratti, L., & Anbarasan, D.
- Affiliations
- Politecnico di Torino (IT)
- Corresponding author
- Pronello, Cristina
- Venue
- Smart Cities
- Publisher
- MDPI AG
- Published
- 2024-01-22
- Volume
- 7
- Issue
- 1
- Pages
- 302-324
- ISSN
- 2624-6511 (ISSN-L)
- OpenAlex
- W4391211423
- Cited by
- 3
- References
- 24
- Citations by year
- 2026: 2 · 2024: 1
- FWCI
- 0.32
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Smart Cities (publishedVersion, cc-by)
- PORTO@Iris (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Social Sciences › Transportation › transportation and logistics systems
- Keywords
- automatic passenger counting, Mobility as a Service, benchmarking, key performance indicators, pressure sensors, infrared sensors, wireless sensors, system integration, pricing models, transport companies, urban mobility
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