iSeat-Towards an Intelligent Driver Seat for Autonomous Cars
Aim: The iSeat system builds upon a complete re-think of the manner in which humans interact with autonomous cars. The smart combination of sensor systems, machine learning, affective computing, human factors, haptics and robotics will result in a bi-directional human-machine cooperation that is safe, intuitive, effective, & personalised.
Amount: £251,453
Duration: July 2018 – June 2020
Principle-Investigator (PI): Dr B. Anvari

G-Active – Green Adaptive Control for Future Interconnected Vehicles
Aim: G-Active aims at reducing CO2 and NOx emissions in passenger and light duty road vehicles by implementing new energy management systems which are global, predictive, adaptive, and scalable.
Research Contribution: Travel Time Estimation and Prediction
Amount: £1,668,848
Duration: November 2016 – August 2019
Investigators: Prof. R. Lot (PI), Prof. N. Stanton, Dr S. Evangelou, Dr B. Anvari, Dr S. Box

Towards A New Traffic Prediction Technique For Improving Road Safety In Brazil
Aim: The aim of this visit to develop a model to predict vehicle’s future location using real traffic traces and the Kalman filter in order to improve VANETs performance
Research Contribution: Travel Time Estimation and Prediction
Amount: £3,078
Duration: December 2018
Investigators : Dr B. Anvari and Prof. W. Kraus Junior


University Partnership Programme (UPP)
Research Contribution: Open-source Traffic Control Test-bed 
Amount: £374,330
Duration: November 2016 – March 2018
Investigators: Prof. N. Hounsell (PI), Dr B. Anvari, Prof. J. Preston, Prof. N. Stanton

Collecting and Analysing Traffic Data Through Drone Vision
Aim: This project  investigated the potential benefit of leveraging Unmanned Aerial Vehicles (UAVs) equipped with Computer Vision software in the development of future Intelligent Transport Systems (ITS).
Amount: £6,319
Duration: June 2017 – December 2017
Investigators: Dr B. Gao (PI), Dr B. Anvari, Prof. J. PrestonDr. S.D. PriorDr. J. Hare

NIHR Global Health Research on Road Safety (16/137/122): Socio-Technical systems Approach to Road Safety (STARS)
Aim: The overall goal of this project is to reduce the number and severity of road accidents in Low- and Middle-Income Countries (LMICs) through an underpinning philosophy of “local solutions for local problems”.
Amount: £1,986,387
Duration: August 2017 – July 2020
Investigators: Prof. N. Stanton (PI), Prof. J. Preston, Prof. P. RoderickDr B. Anvari, Dr K. Plant, Dr G. Yao