Vehicle connectivity and automation: A sibling relationship
The evolution of scientific advances has often been characterized by the amalgamation of
two or more technologies. With respect to vehicle connectivity and automation, recent …
two or more technologies. With respect to vehicle connectivity and automation, recent …
Leveraging the capabilities of connected and autonomous vehicles and multi-agent reinforcement learning to mitigate highway bottleneck congestion
Active Traffic Management strategies are often adopted in real-time to address such sudden
flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts …
flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts …
Leveraging vehicle connectivity and autonomy for highway bottleneck congestion mitigation using reinforcement learning
Automation and connectivity based platforms have great potential for managing highway
traffic congestion including bottlenecks. Speed harmonisation (SH), one of such platforms, is …
traffic congestion including bottlenecks. Speed harmonisation (SH), one of such platforms, is …
Traffic flow breakdown prediction using machine learning approaches
M Filipovska, HS Mahmassani - Transportation research …, 2020 - journals.sagepub.com
Traffic flow breakdown is the abrupt shift from operation at free-flow conditions to congested
conditions and is typically the result of complex interactions in traffic dynamics. Because of …
conditions and is typically the result of complex interactions in traffic dynamics. Because of …
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 …
breakdown and mitigate congestion by changing speed limits throughout a road segment …
Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach
S Islam, M Filipovska - Transportation Research Record, 2023 - journals.sagepub.com
Traffic-state forecasting is crucial for traffic management and control strategies, as well as
user-and system-level decision-making in the transportation network. While traffic …
user-and system-level decision-making in the transportation network. While traffic …
Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach
Traffic state prediction in a transportation network is paramount for effective traffic operations
and management, as well as informed user and system-level decision-making. However …
and management, as well as informed user and system-level decision-making. However …
Improving Short-Term Travel Speed Prediction with High-Resolution Spatial and Temporal Rainfall Data
Heavy rainfall events are becoming more common in many areas with escalating climate
change, and these events can considerably affect travel speed and road safety. It is critical to …
change, and these events can considerably affect travel speed and road safety. It is critical to …
Design and Management of Highway Infrastructure to Accommodate CAVs
Over the past century, landmark advancements in vehicle technology have motivated road
agencies to carry out changes in their road infrastructure design and management …
agencies to carry out changes in their road infrastructure design and management …
Travel time reliability in stochastic dynamic transportation networks: Modeling, path finding and routing
M Filipovska - 2021 - search.proquest.com
Travel time is a key aspect of capturing and evaluating the operational performance and
service quality of transportation systems, and travel time improvement is a common objective …
service quality of transportation systems, and travel time improvement is a common objective …