Many research works deal with big data platforms looking forward to data science and analytics. These are complex and usually distributed environments, composed of several …
Traffic sensing has been revolutionized with the commoditization of GPS technology. Smartphone navigation applications ubiquitously track vehicles as samples of the overall …
S Zhang, Q Jiang, H Li, B Cao… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Accurate and efficient urban traffic flow prediction can help drivers identify road traffic conditions in real-time, consequently helping them avoid congestion and accidents to a …
A Kurek, E Macioszek - Sustainability, 2021 - mdpi.com
The goal of smart cities and sustainable transport is to ensure the efficient movement of people while minimizing a negative impact on the environment. Many cities around the …
In this paper, we propose a new data-driven traffic state estimation model that estimates traffic flow based on average speed data only. The model is devised to implement a cost …
M Yu, J Feng, T Zhang, T Zhang - Journal of Advanced …, 2022 - Wiley Online Library
With the great development of urban transportation systems, immediate urban traffic information has become an essential resource for the public. Traffic estimation is to predict …
D Oh, S Yoon, C Lee… - The Journal of The Korea …, 2023 - koreascience.kr
This study develops an optimal mobile-communication-based National Highway traffic volume estimation model using an ensemble-based machine learning algorithm. Based on …
Human activities in cities, such as eating foods in restaurants and attending special events, are traditionally measured using surveys, questionnaires, and interviews. While such …
Location data is vital for traffic management and for transportation and urban planning, but also benefits people in daily life, helping on decisions related to route planing and on the …