Testing Accuracy and Reliability of MAC Readers to Measure Arterial Travel Times

Stevanovic, Aleksandar; Olarte, Claudia L; Galletebeitia, Álvaro; Galletebeitia, Borja; Kaisar, Evangelos I.

doi:10.1007/s13177-014-0081-4

Cited by 12 publications

(11 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A study on detection found a Bluetooth-enabled phone located on an automobile's dashboard has a three to five times higher detection rate than a Bluetooth-enabled phone in a pocket or purse. In addition, slow-moving vehicles were detected slightly more frequently than fast-moving vehicles due to antenna lag (Stevanovic, Olarte, Galletebeitia, Galletebeitia, & Kaisar, 2014). A 2.5-mile arterial study with 40,000 ADT on Tualatin-Sherwood Road in Oregon found 3-4% of ADT to be detected (Quayle & Koonce, 2010).…”

Section: Data Capture and Detection Ratementioning

confidence: 99%

See 1 more Smart Citation

Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study in San Luis Obispo, California

Purser¹

View full text Add to dashboard Cite

Bluetooth technology applications have improved travel time data collection efforts and allowed for collection of large data sets at a low cost per data unit. Mean travel times between pairs of points are available, but the primary value of this technique is the availability of the entire distribution of travel times throughout multiple days and time periods, allowing for a greater understanding of travel time variations and reliability. The use of these data for transportation planning, engineering and operations continues to expand. Previous applications of similar data sources have included travel demand and simulation model validation, work zone traffic patterns, transit ridership and reliability, pedestrian movement patterns, and before-after studies of transportation improvements. This thesis investigates the collection and analysis of Bluetooth-enabled travel time data along a multimodal arterial corridor in San Luis Obispo, California. Five BlueMAC devices collected multimodal travel time data in January and February 2016 along Los Osos Valley Road. These datasets were used to identify and process known sources of error such as occasions where vehicles using the roadway turn off and make an intermediate stop and multiple reads from the same vehicle; quantify travel time performance and reliability along arterial streets; and compare transit, bicycle, and pedestrian facility performance. Additionally, a travel time model was estimated based on segment characteristics and Bluetooth data to estimate average speeds and travel time distributions.

show abstract

Section: Data Capture and Detection Ratementioning

confidence: 99%

“…Vehicles with multiple devices, including carpools and transit, should be processed as well (Quayle & Koonce, 2010). Even with errors, MAC readers can report travel times not significantly different with 95% confidence from Global Positioning System (GPS) devices 83% of the time (Stevanovic et al, 2014).…”

Section: Known Sources Of Errormentioning

confidence: 99%

Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study in San Luis Obispo, California

Purser¹

View full text Add to dashboard Cite

show abstract

“…In recent years the application of Bluetooth devices (BT) or Wi-Fi is being extended as a source of information for obtaining traffic data [6], [7].…”

Section: A Traffic Characterization Using Wireless Sensorsmentioning

confidence: 99%

Use of ICT in Smart Cities. A practical case applied to traffic management in the city of Valencia

Pla‐Castells

Martínez-Durá

Zapater

et al. 2015

2015 Smart Cities Symposium Prague (SCSP)

View full text Add to dashboard Cite

The whole process of converting a city into the new concept of Smart City implies the improvement of the efficiency and quality of services made available by governments and businesses and a corresponding increase in citizens' quality of life.This process requires a series of actions that include data collection, processing and use of this information for its dissemination among citizens. For example, it is necessary to promote the use and reuse of information from the government or private entities as open data and therefore made more useful and appropriate for citizens. Technologies such as sensor networks, ubiquity, connectivity infrastructure-vehicles and others, become essential elements to achieve this goal.In this paper we present some relevant aspects related to these lines of action in a Smart City and their application to the traffic management data in the city of Valencia.

show abstract

“…Furthermore, in travel speed calculations, the travelling distance L AB is fixed, but TT AB depends on which timestamp is chosen at A and B when there are multiple detections at BMS A and B. is multiple detection problem is one that we address in this work. Although BT technology has been recognised as a reliable and accurate source of travel time data for freeways [14,15], it is still unclear whether accurate TT information can be derived from BT time-stamped address data in urban traffic contexts, especially for short arterial road links [3,6,11,[16][17][18]. is is mainly because of the technical characteristics of BT technology (see section 2.2.1 and 2.2.2) and the characteristics of complex urban traffic environments (see section 2.2.3).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Accuracy of Bluetooth-Based Travel Time on Arterial Roads: A Case Study of Perth, Western Australia

Liu

Xia

Phatak

2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

Bluetooth (BT) time-stamped media access control (MAC) address data have been used for traffic studies worldwide. Although Bluetooth (BT) technology has been widely recognised as an effective, low-cost traffic data source in freeway traffic contexts, it is still unclear whether BT technology can provide accurate travel time (TT) information in complex urban traffic environments. erefore, this empirical study aims to systematically evaluate the accuracy of BT travel time estimates in urban arterial contexts. ere are two major hurdles to deriving accurate TT information for arterial roads: the multiple detection problem and noise in BT estimates. To date, they have not been fully investigated, nor have well-accepted solutions been found. Using approximately two million records of BT time-stamped MAC address data from twenty weekdays, this study uses five different BT TT-matching methods to investigate and quantify the impact of multiple detection problems and the noise in BT TT estimates on the accuracy of average BT travel times. Our work shows that accurate Bluetooth-based travel time information on signalised arterial roads can be derived if an appropriate matching method can be selected to smooth out the remaining noise in the filtered travel time estimates. Overall, average-to-average and last-to-last matching methods are best for long (>1 km) and short (≤1 km) signalised arterial road segments, respectively. Furthermore, our results show that the differences between BT and ground truth average TTs or speeds are systematic, and adding a calibration is a pragmatic method to correct inaccurate BT average TTs or speeds. e results of this research can help researchers and road operators to better understand BT technology for TT analysis and consequently to optimise the deployment location and configuration of BT MAC address scanners.

show abstract

Testing Accuracy and Reliability of MAC Readers to Measure Arterial Travel Times

Cited by 12 publications

References 10 publications

Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study in San Luis Obispo, California

Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study in San Luis Obispo, California

Use of ICT in Smart Cities. A practical case applied to traffic management in the city of Valencia

Evaluating the Accuracy of Bluetooth-Based Travel Time on Arterial Roads: A Case Study of Perth, Western Australia

Contact Info

Product

Resources

About