Scholarly Research Excellence

ICCTST 2018 : 20th International Conference on Computational Transportation Science and Technology

Vienna, Austria
December 27 - 28, 2018

Conference Code: 18AT12ICCTST

Conference Proceedings

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

Special Journal Issues

ICCTST 2018 has teamed up with the Special Journal Issue on Computational Transportation Science and Technology. 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   October 26, 2018
Notification of Acceptance/Rejection   October 31, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   November 13, 2018
Conference Dates   December 27 - 28, 2018

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) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
2) A Hybrid Algorithm for Collaborative Transportation Planning among Carriers
Elham Jelodari Mamaghani, Christian Prins, Haoxun Chen
3) MITOS-RCNN: Mitotic Figure Detection in Breast Cancer Histopathology Images Using Region Based Convolutional Neural Networks
Siddhant Rao
4) A Motion Dictionary to Real-Time Recognition of Sign Language Alphabet Using Dynamic Time Warping and Artificial Neural Network
Marcio Leal, Marta Villamil
5) Detecting Tomato Flowers in Greenhouses Using Computer Vision
Dor Oppenheim, Yael Edan, Guy Shani
6) Paddy/Rice Singulation for Determination of Husking Efficiency and Damage Using Machine Vision
M. Shaker, S. Minaei, M. H. Khoshtaghaza, A. Banakar, A. Jafari
7) Spectrum of Dry Eye Disease in Computer Users of Manipur India
Somorjeet Sharma Shamurailatpam, Rabindra Das, A. Suchitra Devi
8) Discriminant Analysis as a Function of Predictive Learning to Select Evolutionary Algorithms in Intelligent Transportation System
Jorge A. Ruiz-Vanoye, Ocotlán Díaz-Parra, Alejandro Fuentes-Penna, Daniel Vélez-Díaz, Edith Olaco García
9) Design and Implementation of a Counting and Differentiation System for Vehicles through Video Processing
Derlis Gregor, Kevin Cikel, Mario Arzamendia, Raúl Gregor
10) High Level Synthesis of Canny Edge Detection Algorithm on Zynq Platform
Hanaa M. Abdelgawad, Mona Safar, Ayman M. Wahba
11) Traffic Density Measurement by Automatic Detection of Vehicles Using Gradient Vectors from Aerial Images
Saman Ghaffarian, Ilgın Gökasar
12) Stereo Motion Tracking
Yudhajit Datta, Jonathan Bandi, Ankit Sethia, Hamsi Iyer
13) Human Motion Capture: New Innovations in the Field of Computer Vision
Najm Alotaibi
14) An Intelligent Transportation System for Safety and Integrated Management of Railway Crossings
M. Magrini, D. Moroni, G. Palazzese, G. Pieri, D. Azzarelli, A. Spada, L. Fanucci, O. Salvetti
15) Driver Fatigue State Recognition with Pixel Based Caveat Scheme Using Eye-Tracking
K. Thulasimani, K. G. Srinivasagan

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