Origin-destination trip pattern representative by using bluetooth data collection on the arterial road network, Bangkok, Thailand

Document Type : Research Paper

Authors

1 aSchool of Civil Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.

2 bCollege of Science and Technology, NihonUniversity, Chiba, 274-8501, Japan.

3 College of Industrial Technology and Management, Rajamangala University of Technology Srivijaya, Nakhon Si Thammarat 80210, Thailand.

Abstract

In this paper, an efficient GV1-CG is developed to optimizing the modified conjugate gradient algorithm by using a new conjugate property. This is to increase the speed of the convergence and retain the characteristic mass convergence using the conjugate property. This used property is proposed to public functions as it is not necessary to be a quadratic and convex function.  The descent sharp property and comprehensive convergence for the proposed improved algorithm have been proved. Numerical results on some test function indicate that the new CG-method outperforms many of the similar methods in this field.

Keywords

[1] J.D. Porter, D.S. Kim, M.E Magana, P. Poocharoen, C. Antar and G. Arriaga, Antenna Characterization for
Bluetooth-based Travel Time Data Collection,Journal of Intelligent Transportation Systems, 17 (2013) 142-151.
[2] B. N. Araghi, L. T. Christensen, R. Krishnan and H. Lahrmann, Application of Bluetooth technology for modespecific travel time estimation on arterial roads: Potentials and challenges, In Proceedings from the Annual
Transport Conference at Aalborg University, (2012).[3] B.N. Araghi, K. S. Pedersen, L. T. Christensen, R. Krishnan, H. Lahrmann, Accuracy of travel time estimation using Bluetooth technology: Case study Limfjord tunnel Aalborg, International Journal of Intelligent Transportation
Systems Research, 13(3) (2015) 166-191.
[4] W. Charle, F. Viti and C. Tamp`ere, Estimating route travel time variability from link data by means of clustering,
Paper presented at 12th WCTR, Lisbon, Portugal, July (2010) 11-15.
[5] Y. Zhang and A. Haghani, A gradient boosting method to improve travel time prediction, Transportation Research
Part C: Emerging Technologies, 58 (2015) 308-324.
[6] L. Vanajakshi, S.C. Subramanian and R. Sivanandan, Travel time prediction under heterogeneous traffic conditions
using global positioning system data from buses, IET Intelligent Transport Systems, 3(1) (2009) 1-9.
[7] W.H. Schneider, S.M. Turner, J. Roth and J. Wikander, Statistical Validation of Speeds and Travel TimesProvided
by a Data Service Vendor, The University of Akron, (2010).
[8] P. Slone, Bluetooth Based Travel Time Analysis.Southern District ITEAnnual Meeting, Lafayette, LA, (2011).
[9] S. Young, Bluetooth Traffic Monitoring Technology - Concept of Operation &Deployment Guidelines, University
of Maryland - Center for AdvancedTransportation Technology, (2008).
[10] D.D. Puckett and M.J. Vickich, Bluetooth-Based Travel Time/Speed MeasuringSystems Development. University
Transportation Center for Mobility, TexasTransportation Institute, (2010).
[11] KMJ. Consulting. Bluetooth Travel Time Technology Evaluation-Using theBlueTOAD, KMJ Consulting, Inc.,
Haverford, PA, (2010).
[12] E. Sharifi, M. Hamedi, A. Haghani and H. Sadrsadat, Analysis of vehicle detection rate for Bluetooth traffic
sensors: A case study in Maryland and Delaware, In: 18thWorld Congress on Intelligent Transport Systems,
(2011).
[13] M. Martchouk and F. Mannering, Analysis of Travel Time Reliability on IndianaInterstates, Purdue University,
(2009).
[14] P.J. Tarnoff, D.M. Bullock, S.E. Young, J. Wasson, N. Ganig and J.R. Sturdevant, Continuing Evolution of
Travel Time Data InformationCollection and Processing, Transportation Research Board 88th AnnualMeeting,
Washington DC,14 (2009).
[15] J. Barcel´o, L. Montero, L. Marqu´es, P. Marinelli and C. Carmona, Travel Time Forecasting and Dynamic OD
Estimation inFreeways Based on Bluetooth Traffic Monitoring, Department of Statistics andOperations Research
and CENIT2009, (2009).
[16] Y. Malinovskiy, U.K. Lee, Y. Wu and Y. Wang, Investigation of Bluetooth-Based Travel Time EstimationError
on a Short Corridor, Paper presented at the 90th Annual Transportation ResearchBoard Meeting, Washington,
D.C., (2011).
[17] T.M. Brennan, M.E. Joseph, M.D. Christopher, M.B. Darcy , V.K. James and M. Mary , Influence of Vertical Sensor Placement on Data CollectionEfficiency from Bluetooth MAC Address Collection Devices, Journal
ofTransportation Engineering, 136 (2010) 1104-1109.
[18] Y. Malinovskiy, Y. Wu, Y. Wang and U.K. Lee, Field Experiments on Bluetooth-based Travel Time DataCollection,
Paper presented at the 89th Annual Transportation Research BoardMeeting, Washington, D.C., (2010).
[19] Y. Wang, Y. Malinovskiy, Y. Wu, U.K. Lee, Field Experiments with Bluetooth Sensors, (2010).
[20] The Bluetooth Special Interest Group, Architecture & Terminology Overview.Specification of the Bluetooth
System,1 (2004) 13-14.
Volume 12, Issue 2
November 2021
Pages 1541-1562
  • Receive Date: 06 March 2021
  • Revise Date: 26 May 2021
  • Accept Date: 14 June 2021