Using Bluetooth to Estimate the Impact of Congestion on Pedestrian Route Choice at Train Stations

Heuvel, Jeroen van den; Voskamp, Aral; Daamen, Winnie; Hoogendoorn, Serge P.

doi:10.1007/978-3-319-10629-8_9

Cited by 16 publications

(13 citation statements)

References 4 publications

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“…Demand and arrival can be obtained using tracking systems or surveys [47]. Furthermore, smart card validation data can be used [48], and the use of this technology has proven to be a flexible choice to the amendment of key costs with the objective of raising total ticket income [49].…”

Section: Passenger Dynamic Systemmentioning

confidence: 99%

Wireless Sensor Networks: Toward Smarter Railway Stations

Alawad

Kaewunruen

2018

Infrastructures

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Railway industry plays a critical role in transportation and transit systems attributed to the ever-growing demand for catering to both freight and passengers. However, owing to many challenges faced by railway stations such as harsh environments, traffic flow, safety and security risks, new and adaptive systems employing new technology are recommended. In this review, several wireless sensor networks (WSNs) applications are proposed for use in railway station systems, including advanced WSNs, which will enhance security, safety, and decision-making processes to achieve more cost-effective management in railway stations, as well as the development of integrated systems. The size, efficiency, and cost of WSNs are influential factors that attract the railway industry to adopt these devices. This paper presents a review of WSNs that have been designed for uses in monitoring and securing railway stations. This article will first briefly focus on the presence of different WSN applications in diverse applications. In addition, it is important to note that exploitation of the state-of-the-art tools and techniques such as WSNs to gain an enormous amount of data from a railway station is a new and novel concept requiring the development of artificial intelligence methods, such machine learning, which will be vital for the future of the railway industry.

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Section: Passenger Dynamic Systemmentioning

confidence: 99%

Wireless Sensor Networks: Toward Smarter Railway Stations

Alawad

Kaewunruen

2018

Infrastructures

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“…Furthermore, video cameras (e.g. surveillance systems in stations and on-board vehicles), Wi-Fi and Bluetooth trackers may provide knowledge of pedestrian flows in stations, at platforms and in-vehicle [11]. Sensors connected to different types of assets, signals and switches for instances, enable optimization of maintenance schemes.…”

Section: Big Data In Public Transportmentioning

confidence: 99%

Improving Public Transport Decision Making, Planning and Operations by Using Big Data: Cases from Sweden and the Netherlands

Oort

Cats

2015

2015 IEEE 18th International Conference on Intelligent Transportation Systems

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ABSTRACT-New big data (sources) in the public transport industry enable to deal with major challenges such as elevating efficiency, increasing passenger ridership and satisfaction and facilitate the information flow between service providers and service users. This paper presents two actual cases from the Netherlands and Sweden in which automated data sources were utilized to support the planning and operational processes. The cases illustrate the benefits of using smartcard and vehicle positioning data. Due to the data (processing), valuable insights were gained helping to make the right choices and improve the public transport system.

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“…According to Kardi Teknomo [5], pedestrian detection technology can be classified into two categories, namely, manual counting and video image processing. Recently, the Bluetooth scanner has been deployed in different locations to measure pedestrian volume and traveling time [6].…”

Section: Introductionmentioning

confidence: 99%

Estimating Bluetooth mac scanner based pedestrian flow characteristic by taking the through pedestrian flow as a case study

et al. 2017

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Abstract. The Bluetooth scanner has been widely used as vehicle traffic detector in recent years. A new solution based on the Bluetooth scanner has been deliver to detect pedestrian traffic by estimating the pedestrian flow characteristic. The equipment is tuned to scan Bluetooth devices more frequently. Consequentially, the unique Bluetooth MAC can be detected multiple times by the scanner. The numeric simulation also suggests median detection is the chosen one to calculate traveling time. In this study, Bluetooth MAC scanning, as a non-intrusive technology, is tested in a pedestrian transfer tunnel, including antenna compatibility working within buildings. The penetration rate also increases slightly. Finally, the proposed solution offers a mature technology for pedestrian study, integrating scanner configuration, antenna selection and the traveling time calculation method.

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Using Bluetooth to Estimate the Impact of Congestion on Pedestrian Route Choice at Train Stations

Cited by 16 publications

References 4 publications

Wireless Sensor Networks: Toward Smarter Railway Stations

Wireless Sensor Networks: Toward Smarter Railway Stations

Improving Public Transport Decision Making, Planning and Operations by Using Big Data: Cases from Sweden and the Netherlands

Estimating Bluetooth mac scanner based pedestrian flow characteristic by taking the through pedestrian flow as a case study

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