NDLI: Method of speed data fusion based on Bayesian combination algorithm and high-order multi-variable Markov model

Content Provider	IET Digital Library
Author	Zhang, Weibin Qi, Yong Zhou, Zhuping Biancardo, Salvatore A. Wang, Yinhai
Abstract	The variety of data collecting and communication methods used in intelligent transportation systems such as sensors, cameras, and communication networks bring about huge volumes of data that are available for numerous transportation applications and related research on smart cities. However, it is still a challenge to integrate these heterogeneous data sources into a singular data schema in practice. Compared to a single data source, higher data accuracy can be obtained through integration of the multiple data sources if the data quality from each source has been known. In this study, a data fusion method based on Bayesian fusion rules is proposed to merge traffic speed from different data sources according to their prior probability that can be inferred from a high-order multivariable Markov model by considering the relations of multiple traffic factors in a systemic perspective. Case studies based on freeway data, such as loop data, INRIX data, and data from the National Performance Management and Research Data Set, are performed to validate the effectiveness of proposed speed fusion method.
Starting Page	1312
Ending Page	1321
Page Count	10
ISSN	1751956X
Volume Number	12
e-ISSN	17519578
Issue Number	Issue 10, Dec (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/12/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5020
Journal	IET Intelligent Transport Systems
Publisher Date	2018-09-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bayes Method Bayesian Combination Algorithm Bayesian Fusion Rules Communication Method Communication Network Data Accuracy Data Fusion Method Data Handling Technique Data Quality Freeway Data Heterogeneous Data Source High-order Multivariable Markov Model INRIX Data Intelligent Transport System Loop Data Markov Processes Multiple Data Source Multiple Traffic Factors National Performance Management And Research Data Set Probability Road Traffic Sensor Fusion Single Data Source Singular Data Schema Smart Cities Speed Data Fusion Speed Fusion Method Systemic Perspective Traffic Engineering Computing Traffic Speed Transportation Transportation Application
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Freeway travel time estimation based on the general motors model: a genetic algorithm calibration framework

Cycle-based variable speed limit methodology for improved freeway merging

Hybrid short-term prediction of traffic volume at ferry terminal based on data fusion

Spatial–temporal traffic outlier detection by coupling road level of service

Freeway traffic stream modeling based on principal curves and its analysis

Traffic control approach based on multi-source data fusion

Method for accuracy assessment of aggregated freeway traffic data

Analysis on cruising process for on-street parking using an spectral clustering method

Modelling large vehicles operating speed characteristics on freeway alignment based on aggregated GPS data

Method of speed data fusion based on Bayesian combination algorithm and high-order multi-variable Markov model

Similar Documents

Freeway travel time estimation based on the general motors model: a genetic algorithm calibration framework

Cycle-based variable speed limit methodology for improved freeway merging

Hybrid short-term prediction of traffic volume at ferry terminal based on data fusion

Spatial–temporal traffic outlier detection by coupling road level of service

Freeway traffic stream modeling based on principal curves and its analysis

Traffic control approach based on multi-source data fusion

Method for accuracy assessment of aggregated freeway traffic data

Analysis on cruising process for on-street parking using an spectral clustering method

Modelling large vehicles operating speed characteristics on freeway alignment based on aggregated GPS data

Method of speed data fusion based on Bayesian combination algorithm and high-order multi-variable Markov model