Macroscopic network-level traffic models: Bridging fifty years of development toward the next era
Network macroscopic fundamental diagrams (NMFD) and related network-level traffic
dynamics models have received both theoretical support and empirical validation with the …
dynamics models have received both theoretical support and empirical validation with the …
[HTML][HTML] Two-layer adaptive signal control framework for large-scale dynamically-congested networks: Combining efficient Max Pressure with Perimeter Control
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 …
strategy, bearing high potential to improve performance in heavily congested networks with …
[HTML][HTML] Exploring the potential of aggregated traffic models for estimating network-wide emissions
This paper explores the potential of aggregated traffic models based on the Macroscopic
Fundamental Diagram for building a network-wide monitoring system of travel emissions …
Fundamental Diagram for building a network-wide monitoring system of travel emissions …
Developing modified congestion index and congestion-based level of service
Traffic flow and travel time-based measures are used to quantify and characterize
congestion levels on urban roadway networks. However, under low-density conditions …
congestion levels on urban roadway networks. However, under low-density conditions …
Traffic flow modeling and feedback control for future low-altitude air city transport: An MFD-based approach
J Haddad, B Mirkin, K Assor - Transportation Research Part C: Emerging …, 2021 - Elsevier
The imminent penetration of low-altitude passenger and delivery aircraft into the urban
airspace will give rise to new urban air transport systems, which we call low-altitude air city …
airspace will give rise to new urban air transport systems, which we call low-altitude air city …
[HTML][HTML] A multi-stage spatial queueing model with logistic arrivals and departures consistent with the microscopic fundamental diagram and hysteresis
Y Gao, D Levinson - Transportation Research Part B: Methodological, 2024 - Elsevier
This paper introduces a spatial queueing model for a single bottleneck during morning peak
hours. Utilizing the logistic function and after appropriate calibration, it articulates the arrival …
hours. Utilizing the logistic function and after appropriate calibration, it articulates the arrival …
Effect of the trip-length distribution on network-level traffic dynamics: Exact and statistical results
JA Laval - Transportation Research Part C: Emerging …, 2023 - Elsevier
This paper presents additional results of the generalized bathtub model for urban networks,
including a simpler derivation and exact solutions for uniformly distributed trip lengths. It is …
including a simpler derivation and exact solutions for uniformly distributed trip lengths. It is …
Mode differentiation in partitioning of mixed bi-modal urban networks
Empirical studies have demonstrated the existence of a well-defined Network Macroscopic
Fundamental Diagram (NMFD). Well-shaped NMFD, however, may not be a universal law …
Fundamental Diagram (NMFD). Well-shaped NMFD, however, may not be a universal law …
A hazard-based model to derive travel time under congested conditions
Increasing congestion levels and their elusive impact warrants the development of
congestion mitigation strategies. Quantifying congestion and analyzing the spatiotemporal …
congestion mitigation strategies. Quantifying congestion and analyzing the spatiotemporal …
Estimation of urban zonal speed dynamics from user-activity-dependent positioning data and regional paths
M Seppecher, L Leclercq, A Furno, D Lejri… - … Research Part C …, 2021 - Elsevier
Over the past few decades, the digitalization of services and infrastructures has led to the
emergence of a broad set of new information sources to characterize human mobility. These …
emergence of a broad set of new information sources to characterize human mobility. These …