Zobrazeno 1 - 10
of 327
pro vyhledávání: '"Constantinos Antoniou"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 11, Pp 2059-2077 (2024)
Abstract Practical applications of graph neural networks (GNNs) in transportation are still a niche field. There exists a significant overlap between the potential of GNNs and the issues in strategic transport modelling. However, it is not clear whet
Externí odkaz:
https://doaj.org/article/613da8c5503842b893d8d86ec5cb17b9
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 9, Pp 1677-1696 (2024)
Abstract The behavioural differences between autonomous vehicles (AVs) and human‐driven vehicles (HDVs) can significantly impact traffic efficiency, safety, and emissions. Simulation‐based impact assessments using microscopic traffic models often
Externí odkaz:
https://doaj.org/article/f4b2934e298943c39e763149ce3de0a1
Autor:
Stella Roussou, Eva Michelaraki, Christos Katrakazas, Amir Pooyan Afghari, Christelle Al Haddad, Md Rakibul Alam, Constantinos Antoniou, Eleonora Papadimitriou, Tom Brijs, George Yannis
Publikováno v:
European Transport Research Review, Vol 16, Iss 1, Pp 1-13 (2024)
Abstract The i-DREAMS project focuses on establishing a framework known as the ‘Safety Tolerance Zone (STZ)’ to ensure drivers operate within safe boundaries. This study compares Long-Short-Term-Memory Networks and shallow Neural Networks to asse
Externí odkaz:
https://doaj.org/article/69b1b5004a5742908e65a1d3b5782965
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 6, Pp 1051-1071 (2023)
Abstract Microscopic traffic models (MTMs) are widely used for assessing the impacts of (connected) autonomous vehicles ((C)AVs). These models utilize car‐following (CF) and lane‐changing models to replicate the (C)AVs driving behaviors. Numerous
Externí odkaz:
https://doaj.org/article/4d0a4687929247a9ae7f99849d9681e6
Autor:
Santhanakrishnan Narayanan, Nikita Makarov, Evripidis Magkos, Josep Maria Salanova Grau, Georgia Aifadopoulou, Constantinos Antoniou
Publikováno v:
Smart Cities, Vol 6, Iss 3, Pp 1239-1253 (2023)
The implementation of bike-sharing systems (BSSs) is expected to lead to modifications in the travel habits of transport users, one of which is the choice of travel mode. Therefore, this research focuses on the identification of factors influencing t
Externí odkaz:
https://doaj.org/article/d3c92dbe07a74897aebc8628bf51532f
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 4, Pp 804-824 (2023)
Abstract Traffic flow/volume data are commonly used to calibrate and validate traffic simulation models. However, these data are generally obtained from stationary sensors (e.g. loop detectors), which are expensive to install and maintain and cover a
Externí odkaz:
https://doaj.org/article/16e831edd8764026a4caeb8788c3aa47
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 4, Pp 30-47 (2023)
On-street parking information (OSPI) systems help reduce congestion in the city by lessening parking search time. However, current systems use features mainly relying on costly manual observations to maintain a high quality. In this paper, on top of
Externí odkaz:
https://doaj.org/article/cb7c57f22121429987dd3dee7a1791ff
Publikováno v:
Smart Cities, Vol 5, Iss 4, Pp 1336-1355 (2022)
The rapidly evolving urbanization is generating unprecedented travel demand, notably in intercity travel. With increasing challenges in motorized traffic, innovative and sustainable transport modes are more than ever necessary. The Hyperloop system i
Externí odkaz:
https://doaj.org/article/61bf743764d74731b73803517f7de1ff
Publikováno v:
Safety, Vol 10, Iss 1, p 10 (2024)
Advanced driver assistance systems (ADASs) have recently gained popularity as they assist vehicle operators in staying within safe boundaries, helping them thereby to prevent possible collisions. However, despite their success and development, most A
Externí odkaz:
https://doaj.org/article/29f1de8aec654760ba3c674ef2a54ae0
Publikováno v:
IET Intelligent Transport Systems, Vol 16, Iss 5, Pp 602-615 (2022)
Abstract Mobility‐related information systems, such as on‐street parking information (OSPI) systems have become more popular in the original equipment manufacturer (OEM) industry over the last decade. However, there is a lack of methods to assess
Externí odkaz:
https://doaj.org/article/beae4b36185c44dd8c266e50d00916d3