
Panagiotis FafoutellisNational Technical University of Athens | NTUA · Department of Transportation Planning
Panagiotis Fafoutellis
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27
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Publications (27)
Accurate traffic forecasting plays a crucial role in modern Intelligent Transportation Systems (ITS), as it enables real-time traffic flow management, reduces congestion, and improves the overall efficiency of urban transportation networks. With the rise of Quantum Machine Learning (QML), it has emerged a new paradigm possessing the potential to en...
Research in short-term traffic forecasting has been blooming in recent years due to its significant implications in traffic management and intelligent transportation systems. The unprecedented advancements in deep learning have provided immense opportunities to leverage traffic data sensed from various locations of the road network, yet significant...
New mobility-on-demand services together with the emerging technology of autonomous vehicles (AV) aim to revolutionize urban transportation systems, by introducing autonomous driving and sophisticated sharing and routing schemes for efficiently serving individual’s needs and requirements. On the other hand, the COVID-19 pandemic has disrupted trave...
Lane changing has been highlighted as one of the main causes of near misses and road accidents both in urban road networks and highways. During the last decade, a significant effort has been made by researchers to model and predict the exact time a driver starts a lane changing maneuver and to investigate the factors that may affect the above decis...
In order to investigate the acceptance of a Pay-How-You-Drive (PHYD) road pricing system in Athens, Greece, a novel scheme is proposed which is designed to provide recommendations to the drivers in order to change their behavior towards a more ecological one and charges more those that would not follow them. For modeling the acceptance of the syste...
Research on the factors that may affect the future uptake of autonomous Mobiliyt on Demand (MoD) services are today more than ever relevant. In this paper, we attempt to investigate all aspects of acceptability of a proposed Autonomous-MoD service (AMoD). More specifically, we develop mode choice models and identify the factors that affect it in bo...
New mobility and smart transportation services are emerging globally due to the rapid expansion of ITS (Intelligent Transportation Systems); which, however, rely on low-cost positioning sensors. Recent studies on Single Point Positioning (SPP) using raw GNSS (Global Satellite Navigation Systems) measurements from smartphones have demonstrated promi...
Searching for parking is a significant contributor to urban road congestion leading to additional costs for the driver emerging from the increased time spent traveling and fuel consumption. The present work attempts to model the duration for searching for parking space monitored with smartphone sensing using the widespread parametric and semi-param...
Eco-driving is a multidimensional concept that includes driving behavior, route selection and all other choices or behaviors related to the vehicles’ fuel consumption (e.g., the use of quality fuel, the use of air conditioning, driving at peak hours, etc.). The scope of this paper is to present an overview of recent literature referring to eco-driv...
Short-term traffic forecasting is anticipated as an always evolving research topic, boosted by the tremendous recent advances of Machine Learning and Deep Learning, as well as computational power of modern PCs. In this paper, the Dilated Recurrent Neural Networks are introduced in traffic forecasting. Their architecture promotes the deployment of l...
Cruising for parking is a significant contributor to urban road congestion leading to additional costs for the driver in terms of fuel consumption and time. The present work attempts to model cruising for parking behavior identified by smartphone sensing using both widespread survival models and deep learning survival analysis. The available datase...
Short-term traffic forecasting is a field of research that has always attracted significant attention, due to its importance to Traffic Control and Management and the design of Intelligent Transportation Systems. The recent introduction of Machine Learning techniques in traffic forecasting and the vast amount of data collected using the network use...
Short-term traffic forecasting is a field of research that has always attracted significant attention. The recent introduction of Machine Learning techniques in traffic forecasting has broadened the researchers’ horizons, making fresher approaches possible. However, researchers should not disregard the importance of spatiotemporal relations of a ro...
Autonomous (or Driverless) vehicles are expected to be the future of urban transportation. As autonomous is defined a vehicle that is capable of sensing its environment and navigating using a variety of sensors and methods without human input. It is estimated that driverless cars will be technically sufficient for common usage by the end of 2025. I...
The target of this paper is to introduce the factors that affect the fuel consumption of a heavy duty truck and the effect of each on the parameters of energy and fuel consumption, which are the work of the aerodynamic resistance, the work of the rolling resistance and the variation of the dynamic and the kinetic energy.
Then, fuel consumption is c...