V2X and Vehicle Trace Analysis

by Mujdat Soyturk | Jan 9, 2018

ORGANISATION

Name of the Organisation: Marmara University - Vehicular Networking and Intelligent Transportation Systems Research Group

Organisation Short Name: Marmara University - VeNIT-RG

Organisation Type: HES

Country: Turkey

ACTIVITY

Topic(s) of interest from 2018-2019 Transport Work Programme:

LC-MG-1-9-2019: Upgrading transport infrastructure in order to monitor noise and emissions
MG-2-7-2019: Safety in an evolving road mobility environment
MG-4-5-2019: An inclusive digitally interconnected transport system meeting citizens' needs
Call - 2018-2020 Digitising and Transforming European Industry and Services: Automated Road Transport
DT-ART-03-2019: Human centred design for the new driver role in highly automated vehicles
DT-ART-04-2019: Developing and testing shared, connected and cooperative automated vehicle fleets in urban areas for the mobility of all

Fields of Activity: V2X, V2X Communications, Vehicle Traffic Analysis, Connected Cars

Skills and Experise Offered: Positioned in the Department of Computer Engineering, at Marmara University, the Vehicular Networks and Intelligent Transportation Systems Research Group (VeNIT-RG) focuses on novel and innovative researches in the field of vehicular networking and connected cars.
In the research group, we are mainly interested in vehicular networks, V2X communications and integration to 5G networks. Other research interests are Intelligent Transportation Systems (ITS), Connected Cars, Internet of Things (IoT), Big Data: Sensing and Networking, and Sensor & Ad Hoc Networks.
We have the following skills and expertise:
- Implementing traffic safety applications
- Implementing traffic efficiency applications
- Traffic Analysis (Real Vehicle Trace Analysis)
- Modelling and Simulation
-- City traffic (urban/highway/ traffic lights)
-- V2V – V2I – V2N communication
-- LTE integrated simulation
- Design and development of algorithms for V2V and V2X
- Implementing V2V - V2I communications
- Building test environment
- Testing
-- via simulation
-- via test-bed
- In-vehicle sensor network and data gathering
We are also working on workload offloading for RSU and 5G MEC. RSU placement, resource scheduling, coverage and connectivity estimations are the research topics we are working on. Estimations and optimizations are done using the real vehicle traces gathered from Istanbul and Turkey.
Our aim is to bring in new and novel studies comprising protocol, network and system design; testing and measurement of the systems; developing applications and systems in the field.

Keywords: V2X; connected cars; traffic analysis; vehicle traces; vehicle trace analysis; vehicle traffic analysis; 5G;

Previous FP Projects Participated: -

CONTACT

Contact Person: Mujdat Soyturk

Position in the Organisation: Professor

Telephone: +905324225592

Email: mujdat.soyturk@marmara.edu.tr

URL: www.venit.org