collaborators

5 papers

eess.SY2019

Time and Energy-Optimal Lane Change Maneuvers for Cooperating Connected Automated Vehicles

Rui Chen, Christos G. Cassandras, Amin Tahmasbi-Sarvestani

We derive optimal control policies for a Connected and Automated Vehicle (CAV) cooperating with neighboring CAVs to implement a highway lane change maneuver. We optimize the maneuv…

cs.CY2018

Implementation and Evaluation of a Cooperative Vehicle-to-Pedestrian Safety Application

Amin Tahmasbi-Sarvestani, Hossein Nourkhiz Mahjoub, Yaser P. Fallah +2

While the development of Vehicle-to-Vehicle (V2V) safety applications based on Dedicated Short-Range Communications (DSRC) has been extensively undergoing standardization for more…

cs.RO2018

A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks

Hossein Nourkhiz Mahjoub, Amin Tahmasbi-Sarvestani, Hadi Kazemi +1

Situational awareness in vehicular networks could be substantially improved utilizing reliable trajectory prediction methods. More precise situational awareness, in turn, results i…

eess.SP2018

Composite α-μ Based DSRC Channel Model Using Large Data Set of RSSI Measurements

Hossein Nourkhiz Mahjoub, Amin Tahmasbi-Sarvestani, S M Osman Gani +1

Channel modeling is essential for design and performance evaluation of numerous protocols in vehicular networks. In this work, we study and provide results for largescale and small…

eess.SY2018

A Learning-based Stochastic MPC Design for Cooperative Adaptive Cruise Control to Handle Interfering Vehicles

Hadi Kazemi, Hossein Nourkhiz Mahjoub, Amin Tahmasbi-Sarvestani +1

Vehicle to Vehicle (V2V) communication has a great potential to improve reaction accuracy of different driver assistance systems in critical driving situations. Cooperative Adaptiv…