Sina Dabiri

Developing a Twitter-based traffic event detection model using deep learning architectures

Kevin Heaslip, Sina Dabiri, K. Heaslip, 2019, Expert Syst. Appl..

Application of Deep Learning in Intelligent Transportation Systems

Sina Dabiri, S. Dabiri, 2019 .

Introducing a Cost-Effective Approach for Improving the Arterial Traffic Performance Operating Under the Semi-Actuated Coordinated Signal Control

Montasir Abbas, Sina Dabiri, Kianoush Kompany, 2018 .

Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data

Chandan K. Reddy, Chang-Tien Lu, Kevin Heaslip, 2020, IEEE Transactions on Knowledge and Data Engineering.

A deep convolutional neural network based approach for vehicle classification using large-scale GPS trajectory data

Kevin Heaslip, Sina Dabiri, Chandan K. Reddy, 2020, Transportation Research Part C: Emerging Technologies.

Tweets with traffic-related labels for developing a Twitter-based traffic information system.

Sina Dabiri, S. Dabiri, 2018 .

Transport-domain applications of widely used data sources in the smart transportation: A survey pdf

Kevin Heaslip, Sina Dabiri, K. Heaslip, 2018, ArXiv.

Inferring transportation modes from GPS trajectories using a convolutional neural network pdf

Kevin Heaslip, Sina Dabiri, K. Heaslip, 2018, ArXiv.

Arterial traffic signal optimization using Particle Swarm Optimization in an integrated VISSIM-MATLAB simulation environment

Montasir Abbas, Sina Dabiri, M. Abbas, 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

Twitter-based traffic information system based on vector representations for words pdf

Kevin Heaslip, Sina Dabiri, 2018, ArXiv.

Assigning Bus Delay and Predicting Travel Times using Automated Vehicle Location Data

Naren Ramakrishnan, Sina Dabiri, Michael D Eichler, 2019 .

Probe People and Vehicle-Based Data Sources Application in Smart Transportation

Kevin Heaslip, Sina Dabiri, Kaveh Bakhsh Kelarestaghi, 2020, Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering.