MOHD SHAREEF ADIL

Development of Data Driven Driving Model in Traffic Simulation using Extended Floating Car Data (XFCD).

Project : Research Project SAVe Ingolstadt. - Development of calibrated SUMO simulation of the Ingolstadt City. - Development and implementation of an algorithm in python to overcome the problem of implementation of bus stops in SUMO for OpenDrive Networks. (input : Geo-locations of bus stops, output: bus stops files for SUMO network) - Data analysis of the detector counts

Providentia Project: Intelligent Infrastructure for Autonomous Vehicles, - Development of automatic camera calibration algorithm using vanishing point method using C++. - Development of ROS nodes in python and C++. - Implementation of ROS wrappers with camera calibration algorithm. - Configuration of the Hardware for the Providentia test-field equipment.

Responsible for Design and commissioning of telecom and electronic security system packages for transportation and oil and gas industry.

Data Engineering, Statistical Learning, Optimization, Machine Learning, Intelligent Transportation System, Traffic Engineering, Transportation Planning

Electronics and Communication Engineering