Is Bus Overrepresented in Bluetooth MAC Scanner data? Is MAC-ID Really Unique?

被引：12

作者：

Bhaskar A. ^{[1
]}

Kieu L.M. ^{[1
]}

Qu M. ^{[1
]}

Nantes A. ^{[1
]}

Miska M. ^{[1
]}

Chung E. ^{[1
]}

机构：

[1] Smart Transport Research Centre, Science and Engineering Faculty, Civil Engineering and Build Environment School, Queensland University of Technology, George St. GPO, Box 2434, Brisbane, 4001, QLD

来源：

International Journal of Intelligent Transportation Systems Research | 2015年 / 13卷 / 02期

关键词：

Bluetooth; BMS; Bus; Cloning; MAC-ID; Travel time; Vehicle identification and detection system;

D O I：

10.1007/s13177-014-0089-9

中图分类号：

学科分类号：

摘要：

One of the concerns about the use of Bluetooth MAC Scanner (BMS) data, especially from urban arterial, is the bias in the travel time estimates from multiple Bluetooth devices being transported by a vehicle. For instance, if a bus is transporting 20 passengers with Bluetooth equipped mobile phones, then the discovery of these mobile phones by BMS will be considered as 20 different vehicles, and the average travel time along the corridor estimated from the BMS data will be biased with the travel time from the bus. This paper integrates Bus Vehicle Identification system with BMS network to empirically evaluate such bias, if any. The paper also reports an interesting finding on the uniqueness of MAC-IDs. © 2014, Springer Science+Business Media New York.

引用

页码：119 / 130

页数：11

共 23 条

[1]

Bhaskar A., Chung E., Fundamental understanding on the use of Bluetooth scanner as a complementary transport data, Transp Res Part C: Emerg Technol, 37, pp. 42-72, (2013)

[2]

Bhaskar A., Chung E., Dumont A.-G., Estimation of Travel Time on Urban Networks with Midlink Sources and Sinks, Transp Res Rec: J Transp Res Board, 2121, pp. 41-54, (2009)

[3]

Bhaskar A., Chung E., Dumont A.-G., Analysis for the Use of Cumulative Plots for Travel Time Estimation on Signalized Network, Int J Intell Transp Syst Res, 8, pp. 151-163, (2010)

[4]

Bhaskar A., Chung E., Dumont A.-G., Fusing Loop Detector and Probe Vehicle Data to Estimate Travel Time Statistics on Signalized Urban Networks, J. Comput. Aided Civ. Infrastruct. Eng., 26, pp. 433-450, (2011)

[5]

Bhaskar A., Chung E., Dumont A.-G., Average Travel Time Estimations for Urban Routes That Consider Exit Turning Movements, Transp Res Rec: J Transp Res Board, 2308, pp. 47-60, (2012)

[6]

Haghani A., Aliari Y., "Using Bluetooth sensor data for ground-truth testing of reported travel times," presented at the Transportation Research Board 91st Annual Meeting, (2012)

[7]

Khoei A.M., Bhaskar A., Chung E., “Travel time prediction on signalised urban arterials by applying SARIMA modelling on Bluetooth data,” in 36th Australasian Transport Research Forum (ATRF), (2013)

[8]

Haseman R., Wasson J., Bullock D., Real-Time Measurement of Travel Time Delay in Work Zones and Evaluation Metrics Using Bluetooth Probe Tracking, Transp Res Rec: J Transp Res Board, 2169, pp. 40-53, (2010)

[9]

Tsubota T., Bhaskar A., Chung E., Billot R., “Arterial traffic congestion analysis using Bluetooth Duration data,” presented at the Australasian Transport Research Forum, (2011)

[10]

Kieu L.M., Bhaskar A., Chung E., “Bus and car travel time on urban networks: Integrating Bluetooth and Bus Vehicle Identification Data,” presented at the 25th Australian Road Research Board Conference, (2012)

← 1 2 3 →