Traffic prediction using time-space diagram: a convolutional neural network approach

M Khajeh Hosseini… - Transportation Research …, 2019 - journals.sagepub.com
Traffic prediction is a major component of any traffic management system. With the increase
in data sources and advancement in connectivity, data analysis and machine learning …

[HTML][HTML] Methodology for the identification of shock wave type and speed in a traffic stream using connected vehicle data

RS Sakhare, H Li, DM Bullock - Future transportation, 2023 - mdpi.com
The concept of traffic shock waves was first theorized by Lighthill and Whitham in 1955. The
identification of shock wave type and speed in a traffic stream provides critical information …

Predictive speed harmonization using machine learning in traffic flow with connected and automated vehicles

A Elfar, A Talebpour… - Transportation research …, 2024 - journals.sagepub.com
Speed harmonization is an active traffic management strategy used to delay traffic flow
breakdown and mitigate congestion by changing speed limits throughout a road segment …

A data-driven traffic shockwave speed detection approach based on vehicle trajectories data

K Yang, H Yang, L Du - Journal of Intelligent Transportation …, 2024 - Taylor & Francis
Traffic shockwaves demonstrate the formation and spreading of traffic fluctuation on roads.
Existing methods mainly detect the shockwaves and their propagation by estimating traffic …

Automatic traffic queue-end identification using location-based waze user reports

Y Liu, Z Zhang, LD Han… - Transportation research …, 2021 - journals.sagepub.com
Traffic queues, especially queues caused by non-recurrent events such as incidents, are
unexpected to high-speed drivers approaching the end of queue (EOQ) and become safety …

Estimation of traffic flow rate with data from connected-automated vehicles using Bayesian inference and deep learning

Y Han, S Ahn - Frontiers in Future Transportation, 2021 - frontiersin.org
Connected automated vehicles (CAVs) hold promise to replace current traffic detection
systems in the near future. However, traffic state estimation, particularly flow rate, poses a …

Evaluating safety benefits of vehicle-to-everything sensor sharing on rural highways using the microscopic simulation model

JG Cazares, I Damnjanovic - Transportation research record, 2023 - journals.sagepub.com
Safety is a critical aspect of transportation design and operations. Practitioners utilize
various references to ensure that roadways meet safety, operational, and sustainability …

A hybrid framework combining vehicle system knowledge with machine learning methods for improved highway trajectory prediction

MM Sánchez, E Silvas, D Pogosov… - … on Systems, Man, and …, 2020 - ieeexplore.ieee.org
Vehicle-to-vehicle communication is a solution to improve the quality of on-road traveling in
terms of throughput, safety, efficiency and comfort. However, road users that do not …

Close Look into the Spatial-Temporal Distribution of Speed, Lane Changes, and Heavy Vehicles in a Congested Freeway Weaving Section

N Li, HS Mahmassani, Y Zhang… - Transportation …, 2024 - journals.sagepub.com
Traffic behavior around major freeway weaving sections exhibits complex dynamics
associated with multi-directional maneuvers such as lane changes (LCs) accompanied by …

[BUKU][B] Using Cooperative Automated Transportation Data for Freeway Operational Strategies

M Vasudevan, J O'Hara, M Samach, C Silverstein… - 2024 - researchgate.net
1.1 Background Cooperative automated transportation (CAT) envisions all stakeholders and
elements of the transportation system working together to improve safety, mobility, equity …