Open Science Research Excellence

ICTMM 2020 : International Conference on Traffic Microsimulation Models

Ottawa, Canada
July 13 - 14, 2020

Conference Code: 20CA07ICTMM

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICTMM 2020 has teamed up with the Special Journal Issue on Traffic Microsimulation Models. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   April 15, 2020
Notification of Acceptance/Rejection   April 30, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   June 15, 2020
Conference Dates   July 13 - 14, 2020

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Estimation of Uncertainty of Thermal Conductivity Measurement with Single Laboratory Validation Approach
Saowaluck Ukrisdawithid
2) Specific Emitter Identification Based on Refined Composite Multiscale Dispersion Entropy
Shaoying Guo, Yanyun Xu, Meng Zhang, Weiqing Huang
3) Assessment of Aminopolyether on 18F-FDG Samples
Renata L. C. Leão, João E. Nascimento, Natalia C. E. S. Nascimento, Elaine S. Vasconcelos, Mércia L. Oliveira
4) Use of Linear Programming for Optimal Production in a Production Line in Saudi Food Co.
Qasim M. Kriri
5) Considerations for Effectively Using Probability of Failure as a Means of Slope Design Appraisal for Homogeneous and Heterogeneous Rock Masses
Neil Bar, Andrew Heweston
6) Multi-Level Air Quality Classification in China Using Information Gain and Support Vector Machine
Bingchun Liu, Pei-Chann Chang, Natasha Huang, Dun Li
7) Development and Validation of an Instrument Measuring the Coping Strategies in Situations of Stress
Lucie Côté, Martin Lauzier, Guy Beauchamp, France Guertin
8) Energy Loss Reduction in Oil Refineries through Flare Gas Recovery Approaches
Majid Amidpour, Parisa Karimi, Marzieh Joda
9) Renewable Energy System Eolic-Photovoltaic for the Touristic Center La Tranca-Chordeleg in Ecuador
Christian Castro Samaniego, Daniel Icaza Alvarez, Juan Portoviejo Brito
10) PM10 Prediction and Forecasting Using CART: A Case Study for Pleven, Bulgaria
Snezhana G. Gocheva-Ilieva, Maya P. Stoimenova
11) Numerical Analysis of Geosynthetic-Encased Stone Columns under Laterally Loads
R. Ziaie Moayed, M. Hossein Zade
12) Electromagnetic Assessment of Submarine Power Cable Degradation Using Finite Element Method and Sensitivity Analysis
N. Boutra, N. Ravot, J. Benoit, O. Picon
13) Model-Driven and Data-Driven Approaches for Crop Yield Prediction: Analysis and Comparison
Xiangtuo Chen, Paul-Henry Cournéde
14) Efficient Tuning Parameter Selection by Cross-Validated Score in High Dimensional Models
Yoonsuh Jung
15) An Empirical Evaluation of Performance of Machine Learning Techniques on Imbalanced Software Quality Data
Ruchika Malhotra, Megha Khanna

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