OP<sup>3</sup> S: On-Street Occupancy based Parking Prices Prediction System for ITS

Saharan, Sandeep; Baway, Seema; Kumarz, Neeraj

doi:10.1109/gcwkshps50303.2020.9367433

Cited by 4 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Machine learning was used in determining occupancybased parking prices for various parking lots in Seattle. Compared to two benchmarks, this pricing method provided the largest city revenue [27], [28].…”

Section: Review Of Related Literaturementioning

confidence: 99%

An Evaluation of Temporal- and Spatial-Based Dynamic Parking Pricing for Commercial Establishments

2022

View full text Add to dashboard Cite

All smart parking management systems (SPMS) have incorporated the dynamic pricing into its features and capabilities. The collection of parking fees on a corresponding spot has been dependent on either its time-or space-value, with most SPMS utilizing temporal-based parking fee collection. However, little to no study has been conducted to assess or evaluate these pricing schemes according to its friendliness and economics towards both parkers and business operators. In this work, we evaluate two current temporaland three proposed spatiotemporal-based dynamic parking pricing methods by computing their social optimum range and economic effects to both users and parking management entities. Our extensive analysis utilizing both empirical mobility traces and driver parking duration behavior provide important insights in the current pricing setups and present necessary adjustments in improving parking fee collection that contribute to societal benefits.

show abstract

Section: Review Of Related Literaturementioning

confidence: 99%

An Evaluation of Temporal- and Spatial-Based Dynamic Parking Pricing for Commercial Establishments

2022

View full text Add to dashboard Cite

show abstract

DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence

Wani,

Kumar,

Bedi

2024

Computer Methods and Programs in Biomedicine

View full text Add to dashboard Cite

DyPARK: A Dynamic Pricing and Allocation Scheme for Smart On-Street Parking System

Saharan

Kumar

Bawa

2023

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

OP³ S: On-Street Occupancy based Parking Prices Prediction System for ITS

Cited by 4 publications

References 20 publications

An Evaluation of Temporal- and Spatial-Based Dynamic Parking Pricing for Commercial Establishments

An Evaluation of Temporal- and Spatial-Based Dynamic Parking Pricing for Commercial Establishments

DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence

DyPARK: A Dynamic Pricing and Allocation Scheme for Smart On-Street Parking System

Contact Info

Product

Resources

About

OP3 S: On-Street Occupancy based Parking Prices Prediction System for ITS

Cited by 4 publications

References 20 publications

An Evaluation of Temporal- and Spatial-Based Dynamic Parking Pricing for Commercial Establishments

An Evaluation of Temporal- and Spatial-Based Dynamic Parking Pricing for Commercial Establishments

DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence

DyPARK: A Dynamic Pricing and Allocation Scheme for Smart On-Street Parking System

Contact Info

Product

Resources

About

OP³ S: On-Street Occupancy based Parking Prices Prediction System for ITS