Special Issue on Future Intelligent Transportation System (ITS) for Tomorrow and Beyond
Source abstract
Abstract
Intelligent Transportation System (ITS) has evolved into a system for provision of traffic information and traffic control with the help of advanced IT technologies [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Traffic Prediction and Management Techniques · Autonomous Vehicle Technology and Safety · Vehicle License Plate Recognition
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Cho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology (KAIST), 291, Daehak-ro, Yuseong-gu, Daejeon 34141, Korea
Funding
the Korean government (MSIT)
References (25)
Show source-provided references
1. Guerrero-Ibáñez, J., Zeadally, S., and Contreras-Castillo, J. (2018). Sensor technologies for intelligent transportation systems. Sensors, 18.10.3390/s18041212 ↗
2. Estimation of the time-dependency of values of travel time and its reliability from loop detector data10.1016/j.trb.2006.07.002 ↗
3. Vehicle detection video through image processing: The autoscope system10.1109/25.69968 ↗
4. License plate recognition from still images and video sequences: A survey10.1109/TITS.2008.922938 ↗
5. Cabrera, R.S., and de la Cruz, A.P. (2018, January 4–7). Public transport vehicle tracking service for intermediate cities of developing countries, based on ITS architecture using Internet of Things (IoT). Proceedings of the 2018 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, HI, USA.10.1109/ITSC.2018.8569906 ↗
6. Spectrum sensing by parallel pairs of cross-correlators and comb filters for OFDM systems with pilot tones10.1109/JSEN.2012.2188792 ↗
7. A pilot symbol pattern enabling data recovery without side information in PTS-based OFDM systems10.1109/TBC.2011.2105611 ↗
8. Boshita, T., Suzuki, H., and Matsumoto, Y. (2018, January 4–7). IoT-based bus location system using LoRaWAN. Proceedings of the 2018 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, HI, USA.10.1109/ITSC.2018.8569920 ↗
9. An agent-based modeling system for travel demand simulation for hurricane evacuation10.1016/j.trc.2014.02.015 ↗
10. Deep learning methods in transportation domain: A review10.1049/iet-its.2018.0064 ↗
11. Corona, D., Lazar, M., de Schutter, B., and Heemels, M. (2006, January 4–6). A hybrid MPC approach to the design of a Smart adaptive cruise controller. Proceedings of the 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, Munich, Germany.10.1109/CACSD-CCA-ISIC.2006.4776651 ↗
12. Nie, Z., and Farzaneh, H. (2020). Adaptive cruise control for eco-driving based on model predictive control algorithm. Appl. Sci., 10.10.3390/app10155271 ↗
13. Jin, W., Lin, Y., Wu, Z., and Wan, H. (2018, January 23–25). Spatio-temporal recurrent convolutional networks for citywide short-term crowd flows prediction. Proceedings of the 2nd International Conference on Compute and Data Analysis, Dekalb, IL, USA.10.1145/3193077.3193082 ↗
14. Abideen, Z.U., Sun, H., Yang, Z., and Ali, A. (2020). The Deep 3D Convolutional Multi-Branching Spatial-Temporal-Based Unit Predicting Citywide Traffic Flow. Appl. Sci., 10.10.3390/app10217778 ↗
15. Xue, A.Y., Zhang, R., Zheng, Y., Xie, X., Huang, J., and Xu, Z. (2013, January 8–12). Destination prediction by sub-trajectory synthesis and privacy protection against such prediction. Proceedings of the 2013 IEEE 29th international conference on data engineering (ICDE), Brisbane, QLD, Australia.10.1109/ICDE.2013.6544830 ↗
16. Abideen, Z.U., Sun, H., Yang, Z., Ahmad, R.Z., Iftekhar, A., and Ali, A. (2020). Deep wide spatial-temporal based transformer networks modeling for the next destination according to the taxi driver behavior prediction. Appl. Sci., 11.10.3390/app11010017 ↗
17. Wang, W., Tao, H., and Jiang, Y. (2020). Efficient Delivery Services Sharing with Time Windows. Appl. Sci., 10.10.3390/app10217431 ↗
18. UAV-based traffic analysis: A universal guiding framework based on literature survey10.1016/j.trpro.2017.03.043 ↗
19. Bouassida, S., Neji, N., Nouvelière, L., and Neji, J. (2020). Evaluating the Impact of Drone Signaling in Crosswalk Scenario. Appl. Sci., 11.10.3390/app11010157 ↗
20. Pan, Z., Tang, J., Tjahjadi, T., Xiao, X., and Wu, Z. (2020). Camera Geolocation Using Digital Elevation Models in Hilly Area. Appl. Sci., 10.10.3390/app10196661 ↗
21. Optimal power management for nanogrids based on technical information of electric appliances10.1016/j.enbuild.2019.03.026 ↗
22. Jin, H., Lee, S., Nengroo, S.H., and Har, D. (2022). Development of Charging/Discharging Scheduling Algorithm for Economical and Energy-Efficient Operation of Multi-EV Charging Station. Appl. Sci., 12.10.3390/app12094786 ↗
23. Chawuthai, R., Ainthong, N., Intarawart, S., Boonyanaet, N., and Sumalee, A. (2022). Travel Time Prediction on Long-Distance Road Segments in Thailand. Appl. Sci., 12.10.3390/app12115681 ↗
24. Kim, S., Kim, I., Vecchietti, L.F., and Har, D. (2020). Pose estimation utilizing a gated recurrent unit network for visual localization. Appl. Sci., 10.10.3390/app10248876 ↗
25. Vision meets robotics: The kitti dataset10.1177/0278364913491297 ↗