-
Article
Probabilistic Traffic State Prediction Based on Vehicle Trajectory Data
Accurate prediction of traffic flow dynamics is a key step towards effective congestion mitigation strategies. The dynamic nature of traffic flow and lack of comprehensive data coverage (e.g., availability of ...
-
Chapter and Conference Paper
End-to-End Drive By-Wire PID Lateral Control of an Autonomous Vehicle
The number of autonomous vehicles with advanced driver assistance systems have been increasing multi-fold. These technologies have reduced the work of the driver and have increased the safety of roads. Though...
-
Article
A correlation based feature representation for first-person activity recognition
In this paper, a simple yet efficient activity recognition method for first-person video is introduced. The proposed method is appropriate for the representation of high-dimensional features such as those extr...
-
Chapter and Conference Paper
Enhancing the Validity of Traffic Flow Models with Emerging Data
Modeling the impact of connected and automated vehicles (CAVs) on the environmental sustainability, mobility and safety of roadway traffic at the local link level or the regional network level requires a signi...
-
Article
Open information extraction as an intermediate semantic structure for Persian text summarization
Semantic applications typically exploit structures such as dependency parse trees, phrase-chunking, semantic role labeling or open information extraction. In this paper, we introduce a novel application of Ope...
-
Chapter and Conference Paper
Plagiarism Detection Based on a Novel Trie-Based Approach
Nowadays, plagiarism detection becomes as one of the major problems in the text mining field. New coming technologies have made plagiarisation easy and more feasible. Therefore, it is vital to develop a system...
-
Chapter and Conference Paper
Traffic Flow of Connected and Automated Vehicles: Challenges and Opportunities
Significant progress has been observed in recent years in the development of connected and automated vehicles (CAVs). Such progress has been publicized through the latest products/applications being released o...
-
Article
Reverse engineering the way humans rank textures
We argue that in order to understand which features are used by humans to group textures, one must start by computing thousands of features of diverse nature, and select from those features those that allow th...
