Outputs (141)

Deep neural network-based hybrid modelling for development of the cyclist infrastructure safety model (2021)
Journal Article
Malik, F. A., Dala, L., & Busawon, K. (2021). Deep neural network-based hybrid modelling for development of the cyclist infrastructure safety model. Neural Computing and Applications, 33(18), 11603-11616. https://doi.org/10.1007/s00521-021-05857-3

This paper is concerned with modelling cyclist road safety by considering various factors including infrastructure, spatial, personal and environmental variables affecting cycling safety. Age is one of the personal attributes, reported to be a signif... Read More about Deep neural network-based hybrid modelling for development of the cyclist infrastructure safety model.

Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study (2021)
Journal Article
Charissis, V., Falah, J., Lagoo, R., Alfalah, S. F. M., Khan, S., Wang, S., Altarteer, S., Bram Larbi, K., & Drikakis, D. (2021). Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study. Applied Sciences, 11(4), Article 1397. https://doi.org/10.3390/app11041397

The plurality of current infotainment devices within the in-vehicle space produces an unprecedented volume of incoming data that overwhelm the typical driver, leading to higher collision probability. This work presents an investigation to an alternat... Read More about Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study.

Development of a Safety System for Intelligent Cyclist modelling (2020)
Presentation / Conference Contribution
Malik, F. A., Dala, L., & Busawon, K. (2020, November). Development of a Safety System for Intelligent Cyclist modelling. Presented at 2020 3rd International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM), Balaclava, Mauritius

This paper is concerned with the modelling of cyclist road traffic crashes by considering multiple factors affecting the safety of cyclists. There are very few works in the literature dealing with such a problem. The available models in the literatur... Read More about Development of a Safety System for Intelligent Cyclist modelling.

How Do People Move Around? National Data on Transport Modal Shares for 131 Countries (2020)
Journal Article
Fountas, G., Sun, Y.-Y., Akizu-Gardoki, O., & Pomponi, F. (2020). How Do People Move Around? National Data on Transport Modal Shares for 131 Countries. World, 1(1), 34-43. https://doi.org/10.3390/world1010003

The COVID-19 pandemic has brought global mobility into the spotlight, with well over 100 countries having instituted either a full or partial lockdown by April 2020. Reduced mobility, whilst causing social and economic impacts, can also be beneficial... Read More about How Do People Move Around? National Data on Transport Modal Shares for 131 Countries.

The joint effect of weather and lighting conditions on injury severities of single-vehicle accidents (2020)
Journal Article
Fountas, G., Fonzone, A., Gharavi, N., & Rye, T. (2020). The joint effect of weather and lighting conditions on injury severities of single-vehicle accidents. Analytic Methods in Accident Research, 27, Article 100124. https://doi.org/10.1016/j.amar.2020.100124

This study seeks to identify and analyze variations in the effect of contributing factors on injury severities of single-vehicle accidents across various lighting and weather conditions. To that end, injury-severity data from single-vehicle, injury a... Read More about The joint effect of weather and lighting conditions on injury severities of single-vehicle accidents.

An Exploratory Investigation of Public Perceptions Towards Key Benefits and Concerns from the Future Use of Flying Cars (2019)
Journal Article
Eker, U., Fountas, G., Anastasopoulos, P. C., & Still, S. E. (2020). An Exploratory Investigation of Public Perceptions Towards Key Benefits and Concerns from the Future Use of Flying Cars. Travel Behaviour and Society, 19, 54-66. https://doi.org/10.1016/j.tbs.2019.07.003

The imminent introduction of flying cars in the traffic fleet is anticipated to modify the mobility patterns of urban commuters. Flying cars' hybrid operation on the ground and in the air, in conjunction with their (semi-) automated capabilities, may... Read More about An Exploratory Investigation of Public Perceptions Towards Key Benefits and Concerns from the Future Use of Flying Cars.

Use of ubiquitous real-time bus passenger information (2019)
Journal Article
Islam, M. F., Fonzone, A., MacIver, A., & Dickinson, K. (2020). Use of ubiquitous real-time bus passenger information. IET Intelligent Transport Systems, 14(3), 139-147. https://doi.org/10.1049/iet-its.2019.0324

Ubiquitous real-time passenger information (URTPI) enhances the perceived quality of service of public transport and enables travellers to make better pre-trip and en-route travel choices. The paper presents an exploratory study of the use of URTPI.... Read More about Use of ubiquitous real-time bus passenger information.

An AI approach to Collecting and Analyzing Human Interactions with Urban Environments (2019)
Journal Article
Ferrara, E., Fragale, L., Fortino, G., Song, W., Perra, C., di Mauro, M., & Liotta, A. (2019). An AI approach to Collecting and Analyzing Human Interactions with Urban Environments. IEEE Access, 7, 141476-141486. https://doi.org/10.1109/access.2019.2943845

Thanks to advances in Internet of Things and crowd-sensing, it is possible to collect vast amounts of urban data, to better understand how citizens interact with cities and, in turn, improve human well-being in urban environments. This is a scientifi... Read More about An AI approach to Collecting and Analyzing Human Interactions with Urban Environments.

Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach (2019)
Journal Article
Di Mauro, M., & Liotta, A. (2019). Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach. IEEE Transactions on Network and Service Management, 16(4), 1493-1506. https://doi.org/10.1109/tnsm.2019.2943776

The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and service provisioning platforms such as the IP Multimedia Subsystem (IMS). The NFV concept is... Read More about Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach.

Transferred versus local Safety Performance Functions: A geographical analysis considering two European case studies (2019)
Journal Article
Intini, P., Berloco, N., Binetti, R., Fonzone, A., Ranieri, V., & Colonna, P. (2019). Transferred versus local Safety Performance Functions: A geographical analysis considering two European case studies. Safety Science, 120, 906-921. https://doi.org/10.1016/j.ssci.2019.08.013

Two main approaches can be used to predict road accidents: transferring existing Safety Performance Functions (SPFs) from other areas (transferred SPFs), and developing local SPFs. Both approaches have advantages and disadvantages, and are affected b... Read More about Transferred versus local Safety Performance Functions: A geographical analysis considering two European case studies.

Environmental and economic assessment of traffic-related air pollution using aggregate spatial information: A case study of Balneário Camboriú, Brazil (2019)
Journal Article
Tischer, V., Fountas, G., Polette, M., & Rye, T. (2019). Environmental and economic assessment of traffic-related air pollution using aggregate spatial information: A case study of Balneário Camboriú, Brazil. Journal of Transport and Health, 14, Article 100592. https://doi.org/10.1016/j.jth.2019.100592

Introduction
Transportation is one of the main determinants of atmospheric pollutant emissions in urban areas. This externality has direct environmental, economic and public health consequences. This paper aims at investigating the space-time patte... Read More about Environmental and economic assessment of traffic-related air pollution using aggregate spatial information: A case study of Balneário Camboriú, Brazil.

An exploratory investigation of public perceptions towards safety and security from the future use of flying cars in the United States (2019)
Journal Article
Eker, U., Ahmed, S. S., Fountas, G., & Anastasopoulos, P. C. (2019). An exploratory investigation of public perceptions towards safety and security from the future use of flying cars in the United States. Analytic Methods in Accident Research, 23, https://doi.org/10.1016/j.amar.2019.100103

This study aims at investigating public perceptions towards the safety and security implications that will arise after the future introduction of flying cars in the traffic fleet. In this context, we focus on individuals’ opinions about possible safe... Read More about An exploratory investigation of public perceptions towards safety and security from the future use of flying cars in the United States.

Statistical Assessment of Peer Opinions in Higher Education Rankings: The Case of U.S. Engineering Graduate Programs (2019)
Journal Article
Ghaisi, A., Fountas, G., Anastasopoulos, P., & Mannering, F. (2019). Statistical Assessment of Peer Opinions in Higher Education Rankings: The Case of U.S. Engineering Graduate Programs. Journal of Applied Research in Higher Education, 11(3), 481-492. https://doi.org/10.1108/JARHE-09-2018-0196

Unlike many other quantitative characteristics used to determine higher education rankings, opinion-based peer assessment scores, and the factors that may influence them, are not well understood. Using peer scores of U.S. colleges of engineering as r... Read More about Statistical Assessment of Peer Opinions in Higher Education Rankings: The Case of U.S. Engineering Graduate Programs.

A note on accounting for underlying injury-severity states in statistical modeling of injury accident data (2019)
Presentation / Conference Contribution
Fountas, G., & Rye, T. (2019, April). A note on accounting for underlying injury-severity states in statistical modeling of injury accident data. Presented at 10th International Conference on Ambient Systems, Networks and Technologies (ANT), Leuven, Belgium

This study provides an empirical analysis of the severity outcomes of injury accidents (i.e., accidents that resulted in an injury-involved outcome) by exploring the possibility of two underlying injury-severity states: the minor-injury state and the... Read More about A note on accounting for underlying injury-severity states in statistical modeling of injury accident data.

Study of the Accessibility Inequalities of Cordon-Based Pricing Strategies Using a Multimodal Theil Index (2019)
Journal Article
Comporeale, R., Caggiani, L., Fonzone, R., & Ottomanelli, M. (2019). Study of the Accessibility Inequalities of Cordon-Based Pricing Strategies Using a Multimodal Theil Index. Transportation Planning and Technology, 42(5), https://doi.org/10.1080/03081060.2019.1609222

The implementation of an appropriate pricing policy in an urban area could alleviate both environmental and congestion problems by encouraging a shift towards more sustainable modes of transportation. However, any positive net social welfare balance... Read More about Study of the Accessibility Inequalities of Cordon-Based Pricing Strategies Using a Multimodal Theil Index.

Swedish and Scottish National Transport Policy and Spend: a Social Equity Analysis (2019)
Journal Article
Rye, T., & Wretstrand, A. (2019). Swedish and Scottish National Transport Policy and Spend: a Social Equity Analysis. Sustainability, 11(7), 1-16. https://doi.org/10.3390/su11071894

(Article in Special Issue "Accessibility and Transportation Equity")

The topic of social equity in transport planning has been dealt with, in particular, by authors such as Martens (2012) and Martens and Golob (2012) using a social justice based-a... Read More about Swedish and Scottish National Transport Policy and Spend: a Social Equity Analysis.

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks (2019)
Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019). Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371

High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning, a prominent method in artificial intelligence, to design an energy-preserv... Read More about Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks.

Curvilinear MetaSurfaces for Surface Wave Manipulation. (2019)
Journal Article
La Spada, L., Spooner, C., Haq, S., & Hao, Y. (2019). Curvilinear MetaSurfaces for Surface Wave Manipulation. Scientific Reports, 9(1), Article 3107. https://doi.org/10.1038/s41598-018-36451-8

Artificial sheet materials, known as MetaSurfaces, have been applied to fully control both space and surface waves due to their exceptional abilities to dynamically tailor wave fronts and polarization states, while maintaining small footprints. Howev... Read More about Curvilinear MetaSurfaces for Surface Wave Manipulation..

A Preliminary Investigation of the Effectiveness of High Visibility Enforcement Programs Using Naturalistic Driving Study Data: A Grouped Random Parameters Approach (2019)
Journal Article
Sonduru Pantangi, S., Fountas, G., Sarwar, M. T., Anastasopoulos, P. C., Blatt, A., Majka, K., Pierowicz, J., & Mohan, S. B. (2019). A Preliminary Investigation of the Effectiveness of High Visibility Enforcement Programs Using Naturalistic Driving Study Data: A Grouped Random Parameters Approach. Analytic Methods in Accident Research, 21, 1-12. https://doi.org/10.1016/j.amar.2018.10.003

This paper seeks to assess the effectiveness of high-visibility enforcement (HVE) programs in terms of reducing aggressive driving behavior. Using Strategic Highway Research Program 2 (SHRP2) Naturalistic driving study (NDS) data, behavioral reactio... Read More about A Preliminary Investigation of the Effectiveness of High Visibility Enforcement Programs Using Naturalistic Driving Study Data: A Grouped Random Parameters Approach.

Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities (2019)
Journal Article
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F. J., Brindley, P., & Liotta, A. (2019). Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access, 7, 19890-19906. https://doi.org/10.1109/access.2019.2897217

The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data from our cities. In this paper, we investigate a novel way of analyzing dat... Read More about Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities.