Macroscopic network-level traffic models: Bridging fifty years of development toward the next era

M Johari, M Keyvan-Ekbatani, L Leclercq… - … Research Part C …, 2021 - Elsevier
Network macroscopic fundamental diagrams (NMFD) and related network-level traffic
dynamics models have received both theoretical support and empirical validation with the …

Clustering of heterogeneous networks with directional flows based on “Snake” similarities

M Saeedmanesh, N Geroliminis - Transportation Research Part B …, 2016 - Elsevier
Aggregated network level modeling and control of traffic in urban networks have recently
gained a lot of interest due to unpredictability of travel behaviors and high complexity of …

[HTML][HTML] Regional route guidance with realistic compliance patterns: Application of deep reinforcement learning and MPC

S Jiang, CQ Tran, M Keyvan-Ekbatani - Transportation Research Part C …, 2024 - Elsevier
Solving link-based route guidance problems for large-scale networks is computationally
challenging and faces practical issues, such as spatial–temporal data coverage. Thus …

[HTML][HTML] Empirics of multi-modal traffic networks–Using the 3D macroscopic fundamental diagram

A Loder, L Ambühl, M Menendez… - … Research Part C …, 2017 - Elsevier
Traffic is multi-modal in most cities. However, the impacts of different transport modes on
traffic performance and on each other are unclear–especially at the network level. The …

Data fusion algorithm for macroscopic fundamental diagram estimation

L Ambühl, M Menendez - Transportation Research Part C: Emerging …, 2016 - Elsevier
A promising framework that describes traffic conditions in urban networks is the macroscopic
fundamental diagram (MFD), relating average flow and average density in a relatively …

Multi-scale perimeter control approach in a connected-vehicle environment

K Yang, N Zheng, M Menendez - Transportation research procedia, 2017 - Elsevier
This paper proposes a novel approach to integrate optimal control of perimeter intersections
(ie to minimize local delay) into the perimeter control scheme (ie to optimize traffic …

Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data

M Paipuri, Y Xu, MC González, L Leclercq - Transportation Research Part …, 2020 - Elsevier
The present work proposes a global framework to estimate all MFD model parameters using
mobile phone data. The three major components that are estimated in the present context …

Scalable multi-region perimeter metering control for urban networks: A multi-agent deep reinforcement learning approach

D Zhou, VV Gayah - Transportation Research Part C: Emerging …, 2023 - Elsevier
Perimeter metering control based on macroscopic fundamental diagrams has attracted
increasing research interests over the past decade. This strategy provides a convenient way …

Empirical analysis of large-scale multimodal traffic with multi-sensor data

H Fu, Y Wang, X Tang, N Zheng… - … Research Part C …, 2020 - Elsevier
Recent advances in the network-level traffic flow modelling provide an efficient tool for
analyzing traffic performance of large-scale networks. A relationship between density and …

Data fusion for estimating Macroscopic Fundamental Diagram in large-scale urban networks

E Saffari, M Yildirimoglu, M Hickman - Transportation Research Part C …, 2022 - Elsevier
Since the concept of the Macroscopic Fundamental Diagram (MFD) has been introduced,
many studies have investigated the existence and characteristics of the MFD using empirical …