Microsimulation of Freeway Ramp Merging Processes Under Congested Traffic Conditions. - Majid Sarvi; Masao Kuwahara (IEEE Trans. Intell. Transp. Syst., 2007)

Using ITS to Improve the Capacity of Freeway Merging Sections by Transferring Freight Vehicles. - Majid Sarvi; Masao Kuwahara (IEEE Trans. Intell. Transp. Syst., 2008)

Reducing handover drops by utilizing Comparative Queuing. - Ali Zavabeti; Majid Sarvi (WTS, 2009)

An Integrated Framework to Predict Bus Travel Time and Its Variability Using Traffic Flow Data. - Ehsan Mazloumi; Geoff Rose; Graham Currie; Majid Sarvi (J. Intell. Transp. Syst., 2011)

Optimization of Transit Priority in the Transportation Network Using a Genetic Algorithm. - Mahmoud Mesbah; Majid Sarvi; Graham Currie (IEEE Trans. Intell. Transp. Syst., 2011)

Lane-Changing Decision Model for Heavy Vehicle Drivers. - Sara Moridpour; Majid Sarvi; Geoff Rose; Ehsan Mazloumi (J. Intell. Transp. Syst., 2012)

How Many Simulation Runs are Required to Achieve Statistically Confident Results: A Case Study of Simulation-Based Surrogate Safety Measures. - Long Tien Truong; Majid Sarvi; Graham Currie; Timothy M. Garoni (ITSC, 2015)

A solution to the road network design problem for multimodal flow. - Saeed Asadi Bagloee; Majid Sarvi; Abbas Rajabifard; Russell George Thompson; Meead Saberi (ITSC, 2016)

Calibration of traffic flow fundamental diagrams for network simulation applications: A two-stage clustering approach. - Ziyuan Gu; Meead Saberi; Majid Sarvi; Zhiyuan Liu 002 (ITSC, 2016)

Application of an exact gradient method to estimate dynamic origin-destination demand for melbourne network. - Sajjad Shafiei; Meead Saberi; Majid Sarvi (ITSC, 2016)

Design and Implementation of a Low-Power Wireless Sensor Network Platform Based on XBee. - Fan Wu 004; Chang Wei Tan; Majid Sarvi; Christoph Rüdiger; Mehmet Rasit Yuce (VTC Spring, 2017)

A Hybrid Branch-and-Bound and Benders Decomposition Algorithm for the Network Design Problem. - Saeed Asadi Bagloee; Majid Sarvi; Michael Patriksson (Comput. Aided Civ. Infrastructure Eng., 2017)

A Mixed User-Equilibrium and System-Optimal Traffic Flow for Connected Vehicles Stated as a Complementarity Problem. - Saeed Asadi Bagloee; Majid Sarvi; Michael Patriksson; Abbas Rajabifard (Comput. Aided Civ. Infrastructure Eng., 2017)

Transit priority lanes in the congested road networks. - Saeed Asadi Bagloee; Majid Sarvi; Avishai Ceder (Public Transp., 2017)

A Doppler Radar System for Sensing Physiological Parameters in Walking and Standing Positions. - Malikeh Pour Ebrahim; Majid Sarvi; Mehmet Rasit Yuce (Sensors, 2017)

Optimization for Roads' Construction: Selection, Prioritization, and Scheduling. - Saeed Asadi Bagloee; Majid Sarvi; Michael Patriksson; Mohsen Asadi (Comput. Aided Civ. Infrastructure Eng., 2018)

A hybrid machine-learning and optimization method to solve bi-level problems. - Saeed Asadi Bagloee; Mohsen Asadi; Majid Sarvi; Michael Patriksson (Expert Syst. Appl., 2018)

Direct generation of level of service maps from images using convolutional and long short-term memory networks. - Yan Li 127; Kourosh Khoshelham; Majid Sarvi; Milad Haghani (J. Intell. Transp. Syst., 2019)

Multi-view crowd congestion monitoring system based on an ensemble of convolutional neural network classifiers. - Yan Li 127; Majid Sarvi; Kourosh Khoshelham; Milad Haghani (J. Intell. Transp. Syst., 2020)

Short-term traffic flow prediction based on faded memory Kalman Filter fusing data from connected vehicles and Bluetooth sensors. - Azadeh Emami; Majid Sarvi; Saeed Asadi Bagloee (Simul. Model. Pract. Theory, 2020)

Electric vehicle charging: it is not as simple as charging a smartphone (vision paper). - Saeed Nasehi Basharzad; Farhana Murtaza Choudhury; Egemen Tanin; Lachlan L. H. Andrew; Hanan Samet; Majid Sarvi (SIGSPATIAL/GIS, 2022)

A simulation study on prioritizing connected freight vehicles at intersections for traffic flow optimization (industrial paper). - Hairuo Xie; Renata Borovica-Gajic; Egemen Tanin; Shanika Karunasekera; Udesh Gunarathna; Gilbert Oppy; Majid Sarvi (SIGSPATIAL/GIS, 2022)

Pedestrian Origin-Destination Estimation Based on Multi-Camera Person Re-Identification. - Yan Li 127; Majid Sarvi; Kourosh Khoshelham; Yuyang Zhang; Yazhen Jiang (Sensors, 2022)

Network-Wide Traffic State Estimation and Rolling Horizon-Based Signal Control Optimization in a Connected Vehicle Environment. - Azadeh Emami; Majid Sarvi; Saeed Asadi Bagloee (IEEE Trans. Intell. Transp. Syst., 2022)

μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments. - Mohammad Goudarzi; Maria Alejandra Rodriguez; Majid Sarvi; Rajkumar Buyya (CoRR, 2023)

Serverless Vehicular Edge Computing for the Internet of Vehicles. - Faisal Alam; Adel Nadjaran Toosi; Muhammad Aamir Cheema; Claudio Cicconetti; Pablo Serrano 001; Alexandru Iosup; Zahir Tari; Majid Sarvi (IEEE Internet Comput., 2023)

A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction. - Jianzhong Qi 001; Zhuowei Zhao; Egemen Tanin; Tingru Cui; Neema Nassir; Majid Sarvi (IEEE Trans. Knowl. Data Eng., 2023)

Feature-Aware Unsupervised Detection of Important Nodes in Graphs. - Mohammadreza Ghanbari; Saeed Asadi Bagloee; Jianzhong Qi 001; Majid Sarvi (ADMA (3), 2024)

Spatial-temporal Forecasting for Regions without Observations. - Xinyu Su; Jianzhong Qi 001; Egemen Tanin; Yanchuan Chang; Majid Sarvi (EDBT, 2024)

RecVAE-GBRT: Memory-Fused XGBoost for Time-Series Forecasting. - Xiao Zheng; Saeed Asadi Bagloee; Majid Sarvi (IJCNN, 2024)

DualCast: Disentangling Aperiodic Events from Traffic Series with a Dual-Branch Model. - Xinyu Su; Feng Liu 003; Yanchuan Chang; Egemen Tanin; Majid Sarvi; Jianzhong Qi 001 (CoRR, 2024)

$ mu$μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog Computing Environments. - Mohammad Goudarzi; Maria Alejandra Rodriguez; Majid Sarvi; Rajkumar Buyya (IEEE Trans. Serv. Comput., 2024)

A robust machine learning structure for driving events recognition using smartphone motion sensors. - Mahdi Zarei Yazd; Iman Taheri Sarteshnizi; Amir Samimi; Majid Sarvi (J. Intell. Transp. Syst., 2024)

Traffic Anomaly Detection: Exploiting Temporal Positioning of Flow-Density Samples. - Iman Taheri Sarteshnizi; Saeed Asadi Bagloee; Majid Sarvi; Neema Nassir (IEEE Trans. Intell. Transp. Syst., 2024)

TRECK: Long-Term Traffic Forecasting With Contrastive Representation Learning. - Xiao Zheng; Saeed Asadi Bagloee; Majid Sarvi (IEEE Trans. Intell. Transp. Syst., 2024)

A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting. - Xiao Zheng; Saeed Asadi Bagloee; Majid Sarvi (CoRR, 2025)

Generalising Traffic Forecasting to Regions without Traffic Observations. - Xinyu Su; Majid Sarvi; Feng Liu 003; Egemen Tanin; Jianzhong Qi 001 (CoRR, 2025)

A secure framework for containerized IoT applications in integrated edge-cloud computing environments. - Qifan Deng; Mohammad Goudarzi; Arash Shaghaghi; Majid Sarvi; Rajkumar Buyya (Future Gener. Comput. Syst., 2026)