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ORCIDMajid Sarvi
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2020 – today
- 2024
[j22]Mahdi Zarei Yazd, Iman Taheri Sarteshnizi
, Amir Samimi, Majid Sarvi:
A robust machine learning structure for driving events recognition using smartphone motion sensors. J. Intell. Transp. Syst. 28(1): 54-68 (2024)- [j21]Iman Taheri Sarteshnizi, Saeed Asadi Bagloee, Majid Sarvi, Neema Nassir:
Traffic Anomaly Detection: Exploiting Temporal Positioning of Flow-Density Samples. IEEE Trans. Intell. Transp. Syst. 25(5): 4166-4180 (2024) - [j20]Xiao Zheng, Saeed Asadi Bagloee, Majid Sarvi:
TRECK: Long-Term Traffic Forecasting With Contrastive Representation Learning. IEEE Trans. Intell. Transp. Syst. 25(11): 16964-16977 (2024) - [j19]Mohammad Goudarzi, Maria Alejandra Rodriguez, Majid Sarvi, Rajkumar Buyya:
$\mu$μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog Computing Environments. IEEE Trans. Serv. Comput. 17(1): 47-59 (2024) - [c11]Mohammadreza Ghanbari, Saeed Asadi Bagloee, Jianzhong Qi, Majid Sarvi:
Feature-Aware Unsupervised Detection of Important Nodes in Graphs. ADMA (3) 2024: 98-113 - [c10]Xinyu Su, Jianzhong Qi, Egemen Tanin, Yanchuan Chang, Majid Sarvi:
Spatial-temporal Forecasting for Regions without Observations. EDBT 2024: 488-500 - [c9]Xiao Zheng, Saeed Asadi Bagloee, Majid Sarvi:
RecVAE-GBRT: Memory-Fused XGBoost for Time-Series Forecasting. IJCNN 2024: 1-8 - [i4]Xinyu Su, Jianzhong Qi, Egemen Tanin, Yanchuan Chang, Majid Sarvi:
Spatial-temporal Forecasting for Regions without Observations. CoRR abs/2401.10518 (2024) - [i3]Xinyu Su, Feng Liu, Yanchuan Chang, Egemen Tanin, Majid Sarvi, Jianzhong Qi:
DualCast: Disentangling Aperiodic Events from Traffic Series with a Dual-Branch Model. CoRR abs/2411.18286 (2024) - 2023
- [j18]Faisal Alam, Adel Nadjaran Toosi, Muhammad Aamir Cheema, Claudio Cicconetti, Pablo Serrano, Alexandru Iosup, Zahir Tari, Majid Sarvi:
Serverless Vehicular Edge Computing for the Internet of Vehicles. IEEE Internet Comput. 27(4): 40-51 (2023) - [j17]Jianzhong Qi, Zhuowei Zhao, Egemen Tanin, Tingru Cui, Neema Nassir, Majid Sarvi:
A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction. IEEE Trans. Knowl. Data Eng. 35(7): 6548-6560 (2023) - [i2]Mohammad Goudarzi, Maria Alejandra Rodriguez, Majid Sarvi, Rajkumar Buyya:
μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments. CoRR abs/2310.09003 (2023) - 2022
- [j16]Yan Li, Majid Sarvi, Kourosh Khoshelham, Yuyang Zhang, Yazhen Jiang:
Pedestrian Origin-Destination Estimation Based on Multi-Camera Person Re-Identification. Sensors 22(19): 7429 (2022) - [j15]Azadeh Emami, Majid Sarvi, Saeed Asadi Bagloee:
Network-Wide Traffic State Estimation and Rolling Horizon-Based Signal Control Optimization in a Connected Vehicle Environment. IEEE Trans. Intell. Transp. Syst. 23(6): 5840-5858 (2022) - [c8]Saeed Nasehi Basharzad, Farhana Murtaza Choudhury, Egemen Tanin, Lachlan L. H. Andrew, Hanan Samet, Majid Sarvi:
Electric vehicle charging: it is not as simple as charging a smartphone (vision paper). SIGSPATIAL/GIS 2022: 32:1-32:4 - [c7]Hairuo Xie, Renata Borovica-Gajic, Egemen Tanin, Shanika Karunasekera, Udesh Gunarathna, Gilbert Oppy, Majid Sarvi:
A simulation study on prioritizing connected freight vehicles at intersections for traffic flow optimization (industrial paper). SIGSPATIAL/GIS 2022: 53:1-53:10 - [i1]Jianzhong Qi, Zhuowei Zhao, Egemen Tanin, Tingru Cui, Neema Nassir, Majid Sarvi:
A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction. CoRR abs/2205.15218 (2022) - 2020
- [j14]Yan Li, Majid Sarvi, Kourosh Khoshelham, Milad Haghani:
Multi-view crowd congestion monitoring system based on an ensemble of convolutional neural network classifiers. J. Intell. Transp. Syst. 24(5): 437-448 (2020) - [j13]Azadeh Emami, Majid Sarvi, Saeed Asadi Bagloee:
Short-term traffic flow prediction based on faded memory Kalman Filter fusing data from connected vehicles and Bluetooth sensors. Simul. Model. Pract. Theory 102: 102025 (2020)
2010 – 2019
- 2019
- [j12]Yan Li, Kourosh Khoshelham, Majid Sarvi, Milad Haghani:
Direct generation of level of service maps from images using convolutional and long short-term memory networks. J. Intell. Transp. Syst. 23(3): 300-308 (2019) - 2018
- [j11]Saeed Asadi Bagloee, Majid Sarvi, Michael Patriksson, Mohsen Asadi:
Optimization for Roads' Construction: Selection, Prioritization, and Scheduling. Comput. Aided Civ. Infrastructure Eng. 33(10): 833-848 (2018) - [j10]Saeed Asadi Bagloee, Mohsen Asadi, Majid Sarvi, Michael Patriksson:
A hybrid machine-learning and optimization method to solve bi-level problems. Expert Syst. Appl. 95: 142-152 (2018) - 2017
- [j9]Saeed Asadi Bagloee, Majid Sarvi, Michael Patriksson:
A Hybrid Branch-and-Bound and Benders Decomposition Algorithm for the Network Design Problem. Comput. Aided Civ. Infrastructure Eng. 32(4): 319-343 (2017) - [j8]Saeed Asadi Bagloee, Majid Sarvi, Michael Patriksson, Abbas Rajabifard:
A Mixed User-Equilibrium and System-Optimal Traffic Flow for Connected Vehicles Stated as a Complementarity Problem. Comput. Aided Civ. Infrastructure Eng. 32(7): 562-580 (2017) - [j7]Saeed Asadi Bagloee, Majid Sarvi, Avishai Ceder:
Transit priority lanes in the congested road networks. Public Transp. 9(3): 571-599 (2017) - [j6]Malikeh Pour Ebrahim, Majid Sarvi, Mehmet Rasit Yuce:
A Doppler Radar System for Sensing Physiological Parameters in Walking and Standing Positions. Sensors 17(3): 485 (2017) - [c6]Fan Wu, Chang Wei Tan, Majid Sarvi, Christoph Rüdiger, Mehmet Rasit Yuce:
Design and Implementation of a Low-Power Wireless Sensor Network Platform Based on XBee. VTC Spring 2017: 1-5 - 2016
- [c5]Saeed Asadi Bagloee, Majid Sarvi, Abbas Rajabifard, Russell George Thompson, Meead Saberi:
A solution to the road network design problem for multimodal flow. ITSC 2016: 235-240 - [c4]Ziyuan Gu, Meead Saberi, Majid Sarvi, Zhiyuan Liu:
Calibration of traffic flow fundamental diagrams for network simulation applications: A two-stage clustering approach. ITSC 2016: 1348-1353 - [c3]Sajjad Shafiei, Meead Saberi, Majid Sarvi:
Application of an exact gradient method to estimate dynamic origin-destination demand for melbourne network. ITSC 2016: 1945-1950 - 2015
- [c2]Long Tien Truong, Majid Sarvi, Graham Currie, Timothy M. Garoni:
How Many Simulation Runs are Required to Achieve Statistically Confident Results: A Case Study of Simulation-Based Surrogate Safety Measures. ITSC 2015: 274-278 - 2012
- [j5]Sara Moridpour, Majid Sarvi, Geoff Rose, Ehsan Mazloumi:
Lane-Changing Decision Model for Heavy Vehicle Drivers. J. Intell. Transp. Syst. 16(1): 24-35 (2012) - 2011
- [j4]Ehsan Mazloumi, Geoff Rose, Graham Currie, Majid Sarvi:
An Integrated Framework to Predict Bus Travel Time and Its Variability Using Traffic Flow Data. J. Intell. Transp. Syst. 15(2): 75-90 (2011) - [j3]Mahmoud Mesbah, Majid Sarvi, Graham Currie:
Optimization of Transit Priority in the Transportation Network Using a Genetic Algorithm. IEEE Trans. Intell. Transp. Syst. 12(3): 908-919 (2011)
2000 – 2009
- 2009
- [c1]Ali Zavabeti, Majid Sarvi:
Reducing handover drops by utilizing Comparative Queuing. WTS 2009: 1-5 - 2008
- [j2]Majid Sarvi, Masao Kuwahara:
Using ITS to Improve the Capacity of Freeway Merging Sections by Transferring Freight Vehicles. IEEE Trans. Intell. Transp. Syst. 9(4): 580-588 (2008) - 2007
- [j1]Majid Sarvi, Masao Kuwahara:
Microsimulation of Freeway Ramp Merging Processes Under Congested Traffic Conditions. IEEE Trans. Intell. Transp. Syst. 8(3): 470-479 (2007)
Coauthor Index
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