A new approach of traffic state estimation by implementing ergodic theory into Kalman Filtering Technique (Record no. 80588)

MARC details
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818165912.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160328s2014 th uu|m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12141422
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.TE-13-07
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Supapat Mahadthai
245 12 - TITLE STATEMENT
Title A new approach of traffic state estimation by implementing ergodic theory into Kalman Filtering Technique
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2014
300 ## - PHYSICAL DESCRIPTION
Extent 76 leaves :
Other physical details ill.
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. TE-13-07
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for thedegree of Master of Engineering inTransportation Engineering, School of Engineeering and Technology
520 ## - SUMMARY, ETC.
Summary, etc. Traffic information is crucial for both road user side and traffic controller side. Therefore, accuracy and reliabilityof traffic data hasan influentto the decision of both sides.In the past, traffic data were obtained by conventional way like manual count. Currently, there are several modern approachesto get that information such as CCTV cameras and traffic flow sensors, or even use simulation models topredict the traffic state.Since we do not know the true value, the most important thingis how much the information we have close to the real traffic state. Kalman filtering technique (KFT) is a remarkable estimation approach which has been widely used dealing with stochastic problems. Primary concept of KFT is using observed data to adjust the data from transition model, and those data will become an initial state for the next time stepover the time series. The performance of KFT has been proven by many studies that it can adjustthe systems close to the true value.In this study, we focus on application of KFT into traffic state estimation but using traffic simulation software rather than traffic flow models. However, such application has constrain that we cannot use update state as an initial state for the next time step; therefore, we implementing ergodic theory concept to resolve the limitation of the method in this study. The estimation is done with different condition in order to see the influence of difference conditions. The outcome of the estimation method present in this study is quite acceptable if compare with the case that using simulator alone. The speed is the appropriate observation data for the traffic state estimation in this study. However, sometimes the predicted values are not good since they are far from the real value. This result show that the estimation algorithm still cannot use in practical work, and needed to be modified in order to yielding better results.By using the method presented in this study, the overall process of estimation is less complicated but still givesacceptable result.
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M. Eng.) - Asian Institute of Technology, 2014
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Traffic estimation
General subdivision Simulation methods
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Kunnawee Kanitpong,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nakatsuji, Takashi,
Relator term Examination committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Santoso, Djoen San,
Relator term Examination committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Ministry of Public Works (MPW), Indonisia,
Relator term Scholarship donor
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology Fellowship,
Relator term Scholarship donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Thesis ;
Volume/sequential designation no. TE-13-07
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B04137 ">http://203.159.5.9/ait-thesis/detail.php?q=B04137 </a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
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Cataloger's initials, CIN (RLIN) 160328
First date, FD (RLIN) m
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Koha item type 20-AIT Publication
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
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Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026 50.00   AIT Thesis no.TE-13-07 30050120816995 18/08/2026 1 18/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 18/08/2026 50.00   AIT Thesis no.TE-13-07 30050120817027 18/08/2026 2 18/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026     AIT Thesis no.TE-13-07 30050160014402 18/08/2026 1 18/08/2026 40-Archives
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