Influence of Vertical Sensor Placement on Data Collection Efficiency from Bluetooth MAC Address Collection Devices

Brennan, Thomas M.; Ernst, Joseph M.; Day, Christopher M.; Bullock, Darcy M.; Krogmeier, James V.; Martchouk, Mary

doi:10.1061/(asce)te.1943-5436.0000178

Cited by 67 publications

(46 citation statements)

References 8 publications

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“…In recent years, a number of technologies have emerged enabling travel time information to be collected on public roads (72)(73)(74)(75)(76)(77)(78)(79)(80)(81)(82)(83)(84)(85)(86)(87)(88). The probe data market is not yet mature enough to be able to effectively measure minor movements and side street delay, except where volumes are exceptionally high.…”

Section: Travel Time Data Sourcesmentioning

confidence: 99%

See 1 more Smart Citation

Performance Measures for Traffic Signal Systems: An Outcome-Oriented Approach

Day¹,

Bullock²,

Li³

et al. 2014

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PERFORMANCE MEASURES FOR TRAFFIC SIGNAL SYSTEMS:AN OUTCOME-ORIENTED APPROACH This monograph is a synthesis of research carried out on traffic signal performance measures based on highresolution controller event data, assembled into a methodology for performance evaluation of traffic signal systems. High-resolution data consist of a log of discrete events such as changes in detector and signal phase states. A discussion is provided on the collection and management of the signal event data and on the necessary infrastructure to collect these data. A portfolio of performance measures is then presented, focusing on several different topics under the umbrella of traffic signal systems operation. System maintenance and asset management is one focus. Another focus is signal operations, considered from the perspectives of vehicle capacity allocation and vehicle progression. Performance measures are also presented for nonvehicle modes, including pedestrians, and modes that require signal preemption and priority features. Finally, the use of travel time data is demonstrated for evaluating system operations and assessing the impact of signal retiming activities.

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Section: Travel Time Data Sourcesmentioning

confidence: 99%

“…The MAC addresses can be matched from station to station to calculate travel times (77)(78)(79)(80)(81). This provides a lower number of samples than from permanent sensors, but there is greater flexibility in setting the locations of the monitoring stations.…”

Section: Travel Time Data Sourcesmentioning

confidence: 99%

Performance Measures for Traffic Signal Systems: An Outcome-Oriented Approach

Day¹,

Bullock²,

Li³

et al. 2014

View full text Add to dashboard Cite

show abstract

“…Mecit Cetin et al deduced the queue length extraction using the LWR model when there were probe vehicles in the queue vehicles at the under-saturation and over-saturation condition, separately (20,21). Moreover, the Bluetooth can provide the useful information and can be used in the parameters extraction at the signal intersection (22).…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing of the Delay Model Using the Mobile Facility Vehicle Data at the Signalized Intersection

Zhang¹,

Baoji²,

Zhao³

2017

IJCA

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“…In a prior study (12), temporary sensors with different transceiver antenna heights (0 ft, 2.5 ft, 5 ft, 7.5 ft, and 10 ft) were tested in the field to determine which height would produce the largest sample size. The sensors were stationed at various positions along the southbound direction on I-65 along a segment with no intermediate entrances or exits.…”

Section: Sensor Antenna Height Impact On Detection Efficiencymentioning

confidence: 99%

Roadway System Assessment Using Bluetooth-Based Automatic Vehicle Identification Travel Time Data

Day¹,

Brennan²,

Hainen³

et al. 2012

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ROADWAY SYSTEM ASSESSMENT USING BLUETOOTH-BASED AUTOMATIC VEHICLE IDENTIFICATION TRAVEL TIME DATAThis monograph is an exposition of several practice-ready methodologies for automatic vehicle identification (AVI) data collection systems. This includes considerations in the physical setup of the collection system as well as the interpretation of the data. An extended discussion is provided, with examples, demonstrating data techniques for converting the raw data into more concise metrics and views. Examples of statistical before-after tests are also provided. A series of case studies were presented that focus on various real-world applications, including the impact of winter weather on freeway operations, the economic benefit of traffic signal retiming, and the estimation of origin-destination matrices from travel time data. The technology used in this report is Bluetooth MAC address matching, but the concepts are extendible to other AVI data sources.

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Influence of Vertical Sensor Placement on Data Collection Efficiency from Bluetooth MAC Address Collection Devices

Cited by 67 publications

References 8 publications

Performance Measures for Traffic Signal Systems: An Outcome-Oriented Approach

Performance Measures for Traffic Signal Systems: An Outcome-Oriented Approach

Analyzing of the Delay Model Using the Mobile Facility Vehicle Data at the Signalized Intersection

Roadway System Assessment Using Bluetooth-Based Automatic Vehicle Identification Travel Time Data

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