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 …

On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment

E Barmpounakis, N Geroliminis - Transportation research part C: emerging …, 2020 - Elsevier
The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …

Understanding traffic capacity of urban networks

A Loder, L Ambühl, M Menendez, KW Axhausen - Scientific reports, 2019 - nature.com
Traffic in an urban network becomes congested once there is a critical number of vehicles in
the network. To improve traffic operations, develop new congestion mitigation strategies …

Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS)

H Becker, M Balac, F Ciari, KW Axhausen - Transportation Research Part A …, 2020 - Elsevier
Abstract Mobility as a Service (MaaS) is an attempt to overcome market segmentation by
offering transport services tailored to the individual traveler's needs. An alternative to prior …

Dynamic clustering and propagation of congestion in heterogeneously congested urban traffic networks

M Saeedmanesh, N Geroliminis - Transportation research procedia, 2017 - Elsevier
The problem of clustering in urban traffic networks has been mainly studied in static
framework by considering traffic conditions at a given time. Nevertheless, it is important to …

[HTML][HTML] Two-layer adaptive signal control framework for large-scale dynamically-congested networks: Combining efficient Max Pressure with Perimeter Control

D Tsitsokas, A Kouvelas, N Geroliminis - Transportation Research Part C …, 2023 - Elsevier
Traffic-responsive signal control is a cost-effective, easy-to-implement, network management
strategy, bearing high potential to improve performance in heavily congested networks with …

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 …

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 …

Empirical observations of multi-modal network-level models: Insights from the pNEUMA experiment

M Paipuri, E Barmpounakis, N Geroliminis… - … Research Part C …, 2021 - Elsevier
Multi-modal interactions at the network-level remain unexplored due to the lack of high-
resolution data for all transportation modes involved. The current work investigates the effect …

[HTML][HTML] Optimal pricing and investment in a multi-modal city—Introducing a macroscopic network design problem based on the MFD

A Loder, MCJ Bliemer, KW Axhausen - Transportation Research Part A …, 2022 - Elsevier
Improving the performance of an existing transportation system is a challenge for engineers
and policy makers as many dimensions and system design variables are interacting. In this …