Eleni I Vlahogianni

Eleni I Vlahogianni
National Technical University of Athens | NTUA · Department of Transportation Planning

Ph.D.

About

198
Publications
74,277
Reads
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5,784
Citations
Additional affiliations
May 2019 - October 2019
National Technical University of Athens
Position
  • Professor (Associate)
December 2014 - present
National Technical University of Athens
Position
  • Professor (Assistant)
September 2009 - present
National Technical University of Athens
Education
November 2002 - April 2006
National Technical University of Athens
Field of study
  • Traffic Operations

Publications

Publications (198)
Conference Paper
Full-text available
We model the overtaking behavior of PTW drivers using the principles of Game Theory. Both the PTW driver and the driver of the vehicle being overtaken are assumed to be rational decision-makers that develop strategies, while commuting in urban environment, trying to get the best outcome for their decisions. These strategies may be cooperative or no...
Chapter
The applicability of the theory of Recurrence Plots and Recurrence Quantification Analysis to short-term traffic flow is demonstrated through three distinct road traffic case studies. The first focuses on short-term traffic patterns of volume and speed in urban freeway sections. The second case study examines urban traffic flow dynamics under diffe...
Article
Full-text available
This paper proposes a framework based on stochastic cusp catastrophe theory to model microscopic freeway traffic flow. The approach considers that each driver?regardless of being aggressive or timid?may shift his/her behavior and behave aggressively or timidly during driving. Based on the proposed modeling approach, the spacing of a driver is a fun...
Article
Full-text available
Technological changes in the automobile industry accelerate the development of alternative fuel vehicles and automated driving. These changes affect the vehicle fleet mix in urban areas, and affect the total cost of ownership (TCO) per vehicle technology. The goal of this paper is to expand the traditional TCO model to enable the comparison of vehi...
Article
Harsh driving behavior events, such as harsh braking events (HBs) are road safety surrogate measures showing promising research venues towards crash mitigation, such as safety evaluations based on high-resolution driving data from smartphone sensors. This research presents a framework for aggregation and modelling of such data to highlight safety c...
Article
The paper proposes a general framework for the assessment of the impacts of the introduction of Connected and Automated Transport Systems (CATS) on traffic. The main objective is to address the question of scalability and transferability of the identified impacts of Autonomous Vehicles (AVs) in particular, focusing on network performance of urban a...
Article
The advent of autonomous vehicles brings major changes in the transportation systems influencing the infrastructure design, the network performance, as well as driving functions and habits. The penetration rate of this new technology highly depends on the acceptance of the automated driving services and functions, as well as on their impacts on var...
Article
Electromobility and alternative fuels are considered to be significant players towards the reduction of energy consumption and emissions produced by road transportation sector. Governments, municipalities, public and private authorities, and institutions take significant steps for promoting these technologies by adopting effective, efficient and ta...
Article
Full-text available
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...
Article
Full-text available
E-scooter sharing services have grown exponentially in many cities of the world within the last 10 years, mainly with the goal to serve first/last mile trips. Compared to other shared mobility modes (e.g., autonomous buses and electric taxis), for which Agent-based Models (ABMs) have been applied in many cases, just a few studies attempted to simul...
Article
Short-term demand forecasting is essential for the public transit system, allowing for effective operations planning. This is especially relevant in the highly uncertain environment created by the SARS‑CoV‑2 pandemic. In this paper, we attempt to develop accurate prediction models of transit ridership in Athens, Greece, using Autoregressive Fractio...
Article
This paper discusses the characteristics, investments and impacts of the Chinese One Belt One Road (OBOR) initiative in the Eastern Mediterranean ports and Eastern European countries with particular emphasis on its realization in Greece in the port of Piraeus and the so-called Land-Sea bridge railway connections of this port to Eastern European cou...
Article
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...
Conference Paper
Full-text available
This study focuses on the concept of shared space, which encourage road users to share the same road space with little physical or visual separation. It contributes to defining traffic parameters in shared space network links by testing three hypotheses, a) high volume of bicycles and pedestrians (vulnerable road users VRUs) leads to higher traffic...
Conference Paper
Full-text available
CERN, καθώς επίσης αξιολογεί ενδεχόμενες λύσεις για τη δημιουργία ενός βιώσιμου συστήματος μεταφορών για την κοινότητα του CERN. Για να αναλυθούν οι συνήθειες μετακίνησης και η ικανοποίηση των μελών της κοινότητας του CERN, αναπτύχθηκαν μοντέλα δηλωμένων και αποκαλυπτόμενων προτιμήσεων. Στη συνέχεια, δομήθηκαν και αξιολογήθηκαν διαφορετικές πολιτικ...
Article
Full-text available
Technological advancements in the field of transportation are gradually enabling cooperative, connected and automated mobility (CCAM). The progress in information and communication technology (ICT) has provided mature solutions for infrastructure-to-vehicle (I2V) communication, which enables the deployment of Cooperative-ITS (C-ITS) services that c...
Article
The taxi industry has changed dramatically during the last decade, as ride-sourcing applications, ride-sharing and alternative pricing schemes have emerged, either as complementing or competitive services and strategies. After some years of familiarity with such trends, it is interesting to explore where the taxi industry stands with respect to pos...
Article
Autonomous point to point shuttles are an emerging paradigm of a future mobility-on-demand ecosystem. However, the traffic and environmental impacts of their operation are largely under researched especially in relation to influential infrastructure related factors and service-related specifications. The scope of this study is to reveal the factors...
Article
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...
Article
Battery Electric Vehicles (BEVs) have been in the market for over 10 years; however, their market diffusion has been slow despite their environmental and social advantages. Their high purchase cost is one of the most significant barriers towards their wider adoption. Policy makers have used the Total Cost of Ownership (TCO) estimate to expose the l...
Article
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...
Conference Paper
The introduction of electric motor vehicles and the continuous research on automated vehicles introduces new features when evaluating and comparing their lifecycle costs to existing hybrid technologies. This study expands the traditional TCO value and integrates time costs to compare the performance of three different vehicle technologies: Hybrid E...
Article
This paper attempts to shed light on the temporal evolution of driving safety efficiency with the aim to acquire insights useful for both driving behavior and road safety improvement. Data exploited herein are collected from a sophisticated platform that uses smartphone device sensors during a naturalistic driving experiment, at which the driving b...
Conference Paper
Advances in technology and alternative fuels change the on-road vehicle fleet mix, which traditionally depends on internal combustion vehicles. These changes affect also the total cost of ownership (TCO) per vehicle technology and their market penetration rates. The goal of this paper is to identify indicators for a TCO based analysis for three veh...
Article
Full-text available
The purpose of this paper is to provide a methodological framework to identify traffic conditions based on non-calibrated video recordings captured from unmanned aerial vehicles (UAV) using deep learning. To this end, we propose two complementary to each other approaches: (i) identify in real time, with minimal computational cost, traffic condition...
Article
Full-text available
Advances in Data Science permeate every field of Transportation Science and Engineering, resulting in developments in the transportation sector that are data-driven. Nowadays, Intelligent Transportation Systems (ITS) could be arguably approached as a “story” intensively producing and consuming large amounts of data. A diversity of sensing devices d...
Chapter
Urban congestion pricing is widely regarded as an effective way of traffic management in order to relief metropolitan centers from heavy traffic, reduce emissions, air pollution and as a means to promote public transport usage. Until recently, pricing strategies were formed mostly by taking into account peak hours and exemption provisions (e.g., fo...
Article
Full-text available
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...
Chapter
The autonomous vehicles are expected to bring unprecedented changes in the labor sector and the workforce. Traditional jobs will be alleviated, new will be created while people involved in the autonomous vehicle operation should be qualified with additional skills and knowledge in order to be able to deal with the new technology and the various sys...
Chapter
Electromobility and alternative fuels are considered as key solutions towards the reduction of emissions and energy savings in order to achieve more sustainable and environmentally friendly transportation systems. European countries are trying to achieve significant progress in promoting these new technologies in order to ensure better life and air...
Conference Paper
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...
Article
Full-text available
Understanding driving behavior – even in the rapid emergence of automation - remains in the spotlight, for decomposing complex driving dynamics, enabling the development user-friendly and acceptable autonomous vehicles and ensuring the safe co-existence of autonomous and conventional vehicles on the road. Mobile crowdsensing has emerged as a means...
Article
Full-text available
The aim of this paper was to provide a methodological framework for estimating the amount of driving data that should be collected for each driver in order to acquire a clear picture regarding their driving behavior. We examined whether there is a specific discrete time point for each driver, in the form of total driving duration and/or the number...
Article
Full-text available
The scope of this paper is to assess the impact of adopting smooth driving habits on traffic and emissions in large scale urban networks. A methodological approach combining data driven and simulation models is proposed, which, first tries to reveal the prevailing driving profiles using real world driving data gathered from smartphones, and second,...
Preprint
In short-term traffic forecasting, the goal is to accurately predict future values of a traffic parameter of interest occurring shortly after the prediction is queried. The activity reported in this long-standing research field has been lately dominated by different Deep Learning approaches, yielding overly complex forecasting models that in genera...
Article
Using a Powered Two-Wheeler (PTW) for everyday commuting has become particularly attractive in large metropolitan areas. The industry has also picked upon the rising interest for PTW oriented services using crowdsourcing and smartphones. However, current navigation or other travel information services are not at all customized to the needs of PTWs,...
Article
Full-text available
Optimizing driving performance by addressing personalized aspects of driving behavior and without posing unrealistic restrictions on personal mobility may have far reaching implications to traffic safety, flow operations and the environment, as well as significant benefits for users. The present work addresses the problem of delivering personalized...
Article
The objective of this paper is to identify hot spots of bus bunching events at the network level, both in time and space, using Automatic Vehicle Location (AVL) data from the Athens (Greece) Public Transportation System. A two-step spatio-temporal clustering analysis is employed for identifying localized hot spots in space and time and for refining...
Preprint
Full-text available
Advances in Data Science are lately permeating every field of Transportation Science and Engineering, making it straightforward to imagine that developments in the transportation sector will be data-driven. Nowadays, Intelligent Transportation Systems (ITS) could be arguably approached as a "story" intensively producing and consuming large amounts...
Preprint
Full-text available
Advancements in the field of telematics have empowered the development of connected vehicle (CV) applications, which optimize the energy and traffic efficiency of vehicular traffic. Over the past decade, various research groups have proposed different methodologies for the implementation of dynamic eco-driving near signalized intersections. This pa...
Poster
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...
Article
Full-text available
This paper deals with the problem of improving the existing optimization techniques for Data Envelopment Analysis (DEA). The algorithm proposed herein is a combination of the “quickhull algorithm” and a DEA algorithm written in Python programming language. To the best of the authors’ knowledge no prior effort has been made to date to propose a meth...
Article
Full-text available
University campuses are a microcosmos of the urban landscape and an excellent testbed for implementing and evaluating novel mobility policies. However, no scientific contribution has ever aimed to provide a template for university mobility managers to develop an action plan for an efficient and effective sustainable university mobility plan tailore...
Article
Full-text available
The articles in this special section focus on data driven optimization for transportation and smart mobility applications. We live in an era of major societal and technological changes. Transportation de-carbonization and postindustrial demographic trends, such as massive migrations and an aging society, generate new challenges for cities, making t...
Article
Full-text available
We investigate the application of a solar-powered bus route to a small-scale transportation system, as such of a university campus. In particular, we explore the prospect of replacing conventional fossil fuel buses by electric buses powered by solar energy and electricity provided by the central grid. To this end, we employ GIS mapping technology t...
Article
This paper aims to provide a methodological framework for the comparative evaluation of driving safety efficiency based on Data Envelopment Analysis (DEA). The analysis considers each driver as a Decision Making Unit (DMU) and aims to provide a relative safety efficiency measure to compare different drivers based on their driving performance. The l...
Article
In the last years, the arrival and progressively gained maturity of technological paradigms such as Connected Vehicles, the Internet of Things, Sensor Networks, Urban Computing, Smart Cities, Cloud Computing, Edge Computing, Big Data and others alike have ignited the role historically played by data-based learning techniques to levels never seen be...
Article
Full-text available
This paper critically reviews applications of metaheuristics for solving the Transit Route Network Design Problem (TRNDP). A structured review is offered and prominent metaheuristics for tackling the TRNDP are evaluated, according to a benchmark network. The review findings yield a unified implementation framework, which contains common algorithmic...
Conference Paper
Full-text available
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...
Article
Full-text available
Recently, a considerable amount of research has focused on understanding transportation mobility patterns from crowdsourced smartphone data. To this end, transportation mode detection is an indispensable, yet challenging task towards deriving meaningful information from large datasets collected using smartphones. Most studies to date use Global Nav...
Article
Full-text available
freight transportation analysis. Reliable and sufficient data enable the detailed analysis for future planning, for both, infrastructure and operation of transport network. Although the significance of transport data is widely acknowledged by researchers and policy decision-makers, several issues still exist, limiting the proper collection but abov...
Preprint
Full-text available
The aim of this paper is to extend past research on travel behavior analysis by investigating traveler's emotions and perception on system's performance. The perceived travel happiness as an extension of travel satisfaction is researched in the framework of the decision-making process during traveling. Socio-demographics, cognitive and affective da...
Conference Paper
Full-text available
Technologies and systems assisting drivers to locate free on street parking space and/or inform on parking availability may significantly reduce the traffic induced from cruising for parking space in cities. This paper attempts to reveal the factors that may affect the acceptability of parking assistance systems in different European cities, based...
Poster
Full-text available
In the era of rapid technological advancements, innovations have started to reshape the field of transportation and energy management. University Campuses are considered as the ideal venue for implementing and testing innovative transportation services, as they usually encompass a closed form small-scale transportation infrastructure, and mainly in...
Article
A large number of drivers with different driving characteristics co-exist on the road network. Assessing a person's driving profile and detecting aggressive and unsafe driving behavior is essential to enhance road safety, reduce fuel consumption and – at a macroscopic level - tackle congestion. Nowadays, driving data can be massively collected via...
Chapter
The objective of the present research is to better understand mobility in university campus areas, using local and transnational data, policies and planning instruments. This analysis looks at integrating student’s mobility flows to/from and inside Campus areas with urban mobility. Within this framework, a survey was developed for seven Southern Eu...
Chapter
Travel time perception modeling and analysis is required for the planning, design and evaluation of public transportation systems. Often, changes in socioeconomic conditions may have an impact to the perception of public transportation travelers as for their perception of travel time components. Using stated preference data from Athens, Greece, thi...
Chapter
The objective of the present research is to carry out a gap analysis between current mobility situations and the needs, future plans and priorities regarding a number of thematic areas on the issue of mobility in university campuses. For this purpose, an interview was conducted involving 36 experts from seven Southern European Universities. More sp...