Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity

S Kanarachos, SRG Christopoulos… - … research part C: emerging …, 2018 - Elsevier
Nowadays, more than half of the world's web traffic comes from mobile phones, and by 2020
approximately 70 percent of the world's population will be using smartphones. The …

Computational intelligence and optimization for transportation big data: challenges and opportunities

EI Vlahogianni - … and Applied Sciences Optimization: Dedicated to the …, 2015 - Springer
With the overwhelming amount of transportation data being gathered worldwide, Intelligent
Transportation Systems (ITS) are faced with several modeling challenges. New modeling …

Combining speed and acceleration to define car users' safe or unsafe driving behaviour

L Eboli, G Mazzulla, G Pungillo - Transportation research part C: emerging …, 2016 - Elsevier
Speed and acceleration describe the motion of a vehicle. Therefore, these parameters are
fundamental to define the behaviour of a driver. To this aim, it is useful to analyse …

[HTML][HTML] Evaluating the accuracy of vehicle tracking data obtained from Unmanned Aerial Vehicles

G Guido, V Gallelli, D Rogano, A Vitale - International journal of …, 2016 - Elsevier
This paper presents a methodology for tracking moving vehicles that integrates Unmanned
Aerial Vehicles with video processing techniques. The authors investigated the usefulness …

Rigorous performance evaluation of smartphone GNSS/IMU sensors for ITS applications

V Gikas, H Perakis - Sensors, 2016 - mdpi.com
With the rapid growth in smartphone technologies and improvement in their navigation
sensors, an increasing amount of location information is now available, opening the road to …

The use of adaptive traffic signal systems based on floating car data

V Astarita, VP Giofrè, G Guido… - … and Mobile Computing, 2017 - Wiley Online Library
This paper presents a simple concept which has not been, up to now, thoroughly explored in
scientific research: the use of information coming from the network of Internet connected …

Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data

F Rodrigues, FC Pereira - Transportation research part C: emerging …, 2018 - Elsevier
Accurately modeling traffic speeds is a fundamental part of efficient intelligent transportation
systems. Nowadays, with the widespread deployment of GPS-enabled devices, it has …

Traffic data acquirement by unmanned aerial vehicle

G Salvo, L Caruso, A Scordo, G Guido… - European journal of …, 2017 - Taylor & Francis
This paper presents a methodology aimed to acquire traffic flow data through the
employment of unmanned aerial vehicles (UAVs). The study is focused on the determination …

A single intersection cooperative-competitive paradigm in real time traffic signal settings based on floating car data

V Astarita, VP Giofrè, G Guido, A Vitale - Energies, 2019 - mdpi.com
New technologies such as “connected” and “autonomous” vehicles are going to change the
future of traffic signal control and management and possibly will introduce new traffic signal …

Evaluation of emission reduction benefits of traffic flow management and technology upgrade in a congested urban traffic corridor

A Choudhary, S Gokhale - Clean Technologies and Environmental Policy, 2019 - Springer
This paper presents the results of the investigation of the three emission mitigation
alternatives—upgradation to higher Euro norms, conversion to cleaner fuel and regulation of …