1 code implementation • 19 Jan 2024 • Xinyu Su, Jianzhong Qi, Egemen Tanin, Yanchuan Chang, Majid Sarvi
Our key insight is to learn from the locations that resemble those in the region of interest, and we propose a selective masking strategy to enable the learning.
no code implementations • 7 Dec 2023 • Fengze Sun, Jianzhong Qi, Yanchuan Chang, Xiaoliang Fan, Shanika Karunasekera, Egemen Tanin
Our model is powered by a dual-feature attentive fusion module named DAFusion, which fuses embeddings from different region features to learn higher-order correlations between the regions as well as between the different types of region features.
1 code implementation • 11 Oct 2022 • Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin
Trajectory similarity measures act as query predicates in trajectory databases, making them the key player in determining the query results.
1 code implementation • 30 May 2022 • Jianzhong Qi, Zhuowei Zhao, Egemen Tanin, Tingru Cui, Neema Nassir, Majid Sarvi
To model the temporal factors, we use a multi-path convolutional neural network (CNN) to learn the joint impact of different combinations of past traffic conditions on the future traffic conditions.
no code implementations • 9 Feb 2022 • Udesh Gunarathna, Shanika Karunasekara, Renata Borovica-Gajic, Egemen Tanin
Connected Autonomous Vehicles will make autonomous intersection management a reality replacing traditional traffic signal control.
1 code implementation • 13 Jan 2022 • Udesh Gunarathna, Renata Borovica-Gajic, Shanika Karunasekara, Egemen Tanin
We then extend our architecture to learn heuristics for the real-time version of combinatorial optimization problems where all input features of a problem are not known a prior, but rather learned in real-time.
no code implementations • 14 Oct 2019 • Udesh Gunarathna, Hairuo Xie, Egemen Tanin, Shanika Karunasekara, Renata Borovica-Gajic
In this paper, we propose an efficient traffic optimization solution, called Coordinated Learning-based Lane Allocation (CLLA), which is suitable for dynamic configuration of lane-directions.