Distributed Multi-Intersection Traffic Flow Prediction using Deep Learning
Efficient traffic flow prediction is paramount in modern urban transportation management, contributing significantly to energy efficiency and overall sustainability. Traditional traffic prediction models often struggle in complex urban traffic networks, especially at multi-intersection junctions. In...
Main Authors: | Moumen Idriss, Mahdaoui Rabie, Raji Fatima Zahra, Rafalia Najat, Abouchabaka Jaafar |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2024-01-01
|
Series: | E3S Web of Conferences |
Subjects: | |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/07/e3sconf_star2024_00049.pdf |
Similar Items
-
Traffic flow on transportation networks/
by: 257978 Newell, Gordon Frank
Published: (1980) -
Traffic impact assessment at the intersection of Jalan Tuaran and Jalan Sena, and intersection of Jalan Kolam and Jalan Sena, Luyang, Kota Kinabalu, Sabah /
by: Durie Juneh, 1983-, author, et al.
Published: (2016) -
Traffic impact assessment at the intersection of Jalan Tuaran and Jalan Sena, and intersection of Jalan Kolam and Jalan Sena, Luyang, Kota Kinabalu, Sabah /
by: Durie Juneh, 1983-, author
Published: (2016) -
Traffic Flow Theory for Waterway Traffic: Current Challenges and Countermeasures
by: Siqing Zhuang, et al.
Published: (2024-12-01) -
Comparative Analysis of Transfer Learning-Based CNN Approaches for Recognition of Traffic Signs in Autonomous Vehicles
by: Fatima Ezzahra Khalloufi, et al.
Published: (2023-01-01)