Cluster analysis of parking behaviour: A case study in Munich

S Gomari, C Knoth, C Antoniou - Transportation Research Procedia, 2021 - Elsevier
Estimates show that vehicles cruising for on-street parking contribute to 30% of urban traffic
congestion. On-street parking information (OSPI) systems are increasingly becoming a more …

Exploring deep learning approaches for short-term passenger demand prediction

Z Ghandeharioun, P Zendehdel Nobari… - Data Science for …, 2023 - Springer
An accurate short-term passenger demand forecast makes a contribution to the coordination
of traffic supply and demand. Forecasting the short-term passenger demand for the on …

Data-driven parking decisions: Proposal of parking availability prediction model

K Kim, N Koshizuka - … on Smart Cities: Improving Quality of Life …, 2019 - ieeexplore.ieee.org
Due to the increase of the population and car ownership level, car-related problems which
represented by traffic congestion and air pollution are caused. Parking problem is one of the …

Machine Learning Models in the large-scale prediction of parking space availability for sustainable cities

ANH Soumana, MB Salah, S Idbraim… - … on Internet of Things, 2024 - publications.eai.eu
The search for effective solutions to address traffic congestion presents a significant
challenge for large urban cities. Analysis of urban traffic congestion has revealed that more …

Comparing machine learning models for large scale prediction of parking space availability

ANH Soumana, MB Salah, S Idbraim… - AIP Conference …, 2023 - pubs.aip.org
The search for solutions to the problems related to traffic congestion has become a
significant challenge for large urban cities. The analysis of traffic jams in some congested …

A case study on energy management and charging monitoring of battery electric vehicles in parking garages

R Otto, M Brennenstuhl, E Duminil, D Uckelmann… - 2022 - IET
The transport sector's transition towards e-mobility poses various challenges, but also
makes large flexible load and supply potentials available and thus allows for a stronger …

Study on Q-Learning and Deep Q-Learning in Urban Roadside Parking Space Search

HC Jang, CY Lee - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
In recent years, most research on urban roadside parking space search has focused on
improving the prediction of the vacancy of roadside parking spaces. One simple but …

[PDF][PDF] Spatio-temporal analysis of parked-in and parked-out events: A case study of Munich

S Gomari, C Knoth, C Antoniou - Proc. Virtual ITS Eur. Congr., 2020 - researchgate.net
Estimates show that vehicles cruising for on-street parking contribute to 30% of urban traffic
congestion. On-street parking information (OSPI) systems are increasingly becoming a more …