Parking prediction in smart cities: A survey
With the growing number of cars in cities, smart parking is gradually becoming a strategic
issue in building a smart city. As the precondition in smart parking, accurate parking …
issue in building a smart city. As the precondition in smart parking, accurate parking …
[HTML][HTML] A review of research on urban parking prediction
C Ma, X Huang, J Li - Journal of Traffic and Transportation Engineering …, 2024 - Elsevier
The rapid growth of urban traffic has intensified daily congestion, affecting both traffic flow
and parking. Accurate parking prediction plays a vital role in effectively managing limited …
and parking. Accurate parking prediction plays a vital role in effectively managing limited …
Pricing curb parking: Differentiated parking fees or cash rewards?
X Zhou, M Lv, Y Ji, S Zhang, Y Liu - Transport Policy, 2023 - Elsevier
Parking price adjustment is an effective method for influencing curb parking choices, playing
a crucial role in alleviating urban parking shortages and balancing uneven distribution. The …
a crucial role in alleviating urban parking shortages and balancing uneven distribution. The …
[HTML][HTML] Spatio-temporal parking occupancy forecasting integrating parking sensing records and street-level images
The prediction of parking occupancy is of great importance to urban planning. As the
number of cars increases and parking resources become limited, the lack of parking supply …
number of cars increases and parking resources become limited, the lack of parking supply …
[PDF][PDF] PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction.
In big cities, there are plenty of parking spaces, but we often find nowhere to park. For
example, New York has 1.4 million cars and 4.4 million onstreet parking spaces, but it is still …
example, New York has 1.4 million cars and 4.4 million onstreet parking spaces, but it is still …
Social media analysis of car parking behavior using similarity based clustering
This paper investigates car parking users' behaviors from social media perspective using
social network based analysis of online communities revealed by mining the associated …
social network based analysis of online communities revealed by mining the associated …
Model free Reinforcement Learning to determine pricing policy for car parking lots
K Sowmya, MM Dhabu - Expert Systems with Applications, 2023 - Elsevier
Finding a parking space has not only become painful but also costs a lot in most of the
metropolitan cities. With the increase in number of vehicles and limited resources such as …
metropolitan cities. With the increase in number of vehicles and limited resources such as …
Development of a data-driven on-street parking information system using enhanced parking features
S Gomari, R Domakuntla, C Knoth… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
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 …
lessening parking search time. However, current systems use features mainly relying on …
A user behavior and reinforcement learning based dynamic pricing method for idle connection time reduction at charging stations
Reducing idle connection time is crucial for improving the operational efficiency of charging
stations and enhancing the satisfaction of electric vehicle (EV) users. During idle connection …
stations and enhancing the satisfaction of electric vehicle (EV) users. During idle connection …
Periodic weather-aware LSTM with event mechanism for parking behavior prediction
There are plenty of parking spaces in big cities, but we often find nowhere to park. For
example, New York has 1.4 million cars and 4.4 million on-street parking spaces, but it is still …
example, New York has 1.4 million cars and 4.4 million on-street parking spaces, but it is still …