Eleni Mantouka

National Technical University of Athens | NTUA · School of Civil Engineering

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...

Most driving recommendation and assistance systems, such as Advanced Driving Assistance Systems (ADAS), are usually designed based on the behavior of an average driver. Nevertheless, personalized driving systems that can be adapted to different driving styles and recognize individual needs and preferences, may be key to the sensitization of drivers...

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...

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...

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...

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...

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...

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,...

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...

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...

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...

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...

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...

Eco-driving has been gaining increasing interest the last decade not only as means to reduce fuel consumption, but also as a global strategy to reduce emissions and improve air quality. The scope of this paper is to assess the impact of eco driving on traffic flow and emissions in large scale urban networks. To this end, a methodological approach b...

Cooperative Intelligent Transportation Systems (c-ITS) has been argued to be beneficial to the economic and environmental sustainability and add to the quality of life in urban cities. As the wide implementation of these systems demands significant investment, it is important to gauge public acceptability, before they come to implementation. To thi...

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...

This paper examines the parameters that can lead to the acceptance of smartphone gamified applications concerning the airport. A questionnaire survey was conducted, where travelers were asked to express their needs and requirements, when accessing the airport or using its facilities. Logistic regression methodology is used to analyze the acceptance...

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 sens...