
تعداد نشریات | 21 |
تعداد شمارهها | 610 |
تعداد مقالات | 9,028 |
تعداد مشاهده مقاله | 67,082,909 |
تعداد دریافت فایل اصل مقاله | 7,656,366 |
Origin-destination trip pattern representative by using bluetooth data collection on the arterial road network, Bangkok, Thailand | ||
International Journal of Nonlinear Analysis and Applications | ||
دوره 12، شماره 2، بهمن 2021، صفحه 1541-1562 اصل مقاله (4.22 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.5282 | ||
نویسندگان | ||
Rattanaporn Kasemsri* 1؛ Tetsuhiro Ishizaka2؛ Piyapong Suwanno3 | ||
1aSchool of Civil Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand. | ||
2bCollege of Science and Technology, NihonUniversity, Chiba, 274-8501, Japan. | ||
3College of Industrial Technology and Management, Rajamangala University of Technology Srivijaya, Nakhon Si Thammarat 80210, Thailand. | ||
تاریخ دریافت: 16 اسفند 1399، تاریخ بازنگری: 05 خرداد 1400، تاریخ پذیرش: 24 خرداد 1400 | ||
چکیده | ||
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. | ||
کلیدواژهها | ||
Conjugate gradient؛ Developed conjugation property؛ Improved algorithm؛ Optimization؛ Global Convergence؛ Descent Direction | ||
سایر فایل های مرتبط با مقاله
|
||
مراجع | ||
[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. | ||
آمار تعداد مشاهده مقاله: 15,807 تعداد دریافت فایل اصل مقاله: 535 |