4.7 Article

Non-unimodal and non-concave relationships in the network Macroscopic Fundamental Diagram caused by hierarchical streets

Related references

Note: Only part of the references are listed.
Article Economics

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

Allister Loder et al.

Summary: The paper introduces the three-dimensional macroscopic fundamental diagram network design problem (3D-MFD-NDP) to improve the performance of multimodal transportation systems. By minimizing total travel time and considering variables such as user costs and bus frequency, substantial reductions in travel time can be achieved by limiting car use and increasing its costs.

TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2022)

Article Transportation Science & Technology

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

Elham Saffari et al.

Summary: This study aims to estimate the MFD for a large-scale urban network by combining probe vehicle data with an unknown penetration rate and full-scale approximate traffic data based on loop detector data. The Bayesian fusion method outperforms the baseline method in average flow and density estimations, especially showing significant improvement in average density estimations.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2022)

Article Green & Sustainable Science & Technology

An MFD Construction Method Considering Multi-Source Data Reliability for Urban Road Networks

Rongrong Hong et al.

Summary: This study aims to characterize the traffic flow state of urban road networks using the Macroscopic Fundamental Diagram (MFD) to support area traffic control. A method of MFD construction based on multi-source data and Dempster-Shafer evidence theory is proposed to improve the accuracy of the constructed MFDs and consider the reliability of different data sources.

SUSTAINABILITY (2022)

Article Transportation Science & Technology

Parameter estimation of the macroscopic fundamental diagram: A maximum likelihood approach

Rafegh Aghamohammadi et al.

Summary: This paper extends the Stochastic Method of Cuts to approximate the Macroscopic Fundamental Diagram of urban networks and uses Maximum Likelihood Estimation method to estimate the model parameters. The results show satisfactory parameter estimates and graphical fits for the studied networks.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2022)

Article Transportation Science & Technology

Network-scale traffic prediction via knowledge transfer and regional MFD analysis

Junyi Li et al.

Summary: This paper proposes a physics-informed transfer learning method for network-scale link-wise traffic flow prediction, aiming to address the issues of data insufficiency and dataset shift. Experimental results show that the proposed framework can facilitate traffic flow transfer between different regions and alleviate problems related to data insufficiency, dataset shift, and heavy computational cost.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2022)

Article Transportation Science & Technology

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

Mahendra Paipuri et al.

Summary: This research investigates the effects of multi-modal interactions on network speed using data from a congested city center network in Athens, Greece, and introduces a multi-modal mean speed MFD as well as an extended trip-based model. The study also extends the classical two-fluid model to multi-modal networks.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

Review Transportation Science & Technology

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

Mansour Johari et al.

Summary: Network macroscopic fundamental diagrams and related traffic dynamics models have theoretical support and empirical validation, but their readiness for practical implementation is still uncertain. This paper reviews the history of macroscopic modeling, assesses remaining gaps, and discusses opportunities for further development in theory and applications.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

Article Transportation Science & Technology

Disentangling the city traffic rhythms: A longitudinal analysis of MFD patterns over a year

Lukas Ambuhl et al.

Summary: In this paper, the authors demonstrate how temporal patterns of vehicle traffic and traffic heterogeneity in the network can be used to predict urban road transportation performance with a high level of accuracy.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)

Article Economics

On the application of variational theory to urban networks

Gabriel Tilg et al.

Summary: A framework based on VT has been developed to consider source terms and spillbacks at the network level, modeling complex traffic situations and fitting well with microscopic simulation results, albeit with significantly lower computational costs.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2021)

Article Transportation Science & Technology

On the modeling of passenger mobility for stochastic bi-modal urban corridors

Igor Dakic et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)

Article Transportation Science & Technology

Evaluation of analytical approximation methods for the macroscopic fundamental diagram

Gabriel Tilg et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)

Article Transportation Science & Technology

Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks

Ye Ren et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)

Article Engineering, Civil

Analytical Method to Approximate the Impact of Turning on the Macroscopic Fundamental Diagram

Guanhao Xu et al.

TRANSPORTATION RESEARCH RECORD (2020)

Article Transportation Science & Technology

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

Mahendra Paipuri et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)

Article Transportation Science & Technology

A methodology for identifying critical links and estimating macroscopic fundamental diagram in large-scale urban networks

Elham Saffari et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)

Article Transportation Science & Technology

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

Hui Fu et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)

Article Transportation Science & Technology

Empirical evaluation of influential factors on bifurcation in macroscopic fundamental diagrams

Jisup Shim et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

Article Engineering, Civil

Approximative Network Partitioning for MFDs from Stationary Sensor Data

Lukas Ambuehl et al.

TRANSPORTATION RESEARCH RECORD (2019)

Article Transportation Science & Technology

Heterogeneity aware urban traffic control in a connected vehicle environment: A joint framework for congestion pricing and perimeter control

Kaidi Yang et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

Article Transportation Science & Technology

Providing public transport priority in the perimeter of urban networks: A bimodal strategy

He Haitao et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

Article Multidisciplinary Sciences

Understanding traffic capacity of urban networks

Allister Loder et al.

SCIENTIFIC REPORTS (2019)

Article Transportation Science & Technology

Optimal distance- and time-dependent area-based pricing with the Network Fundamental Diagram

Ziyuan Gu et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)

Article Engineering, Civil

Introducing a Re-Sampling Methodology for the Estimation of Empirical Macroscopic Fundamental Diagrams

Lukas Ambuehl et al.

TRANSPORTATION RESEARCH RECORD (2018)

Article Economics

Hierarchical control of heterogeneous large-scale urban road networks via path assignment and regional route guidance

Mehmet Yildirimoglu et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2018)

Article Economics

Optimal perimeter control synthesis for two urban regions with aggregate boundary queue dynamics

Jack Haddad

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2017)

Article Transportation Science & Technology

Empirics of multi-modal traffic networks - Using the 3D macroscopic fundamental diagram

Allister Loder et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)

Article Engineering, Civil

Improving Urban Street Network Efficiency by Prohibiting Conflicting Left Turns at Signalized Intersections

Anthony J. DePrator et al.

TRANSPORTATION RESEARCH RECORD (2017)

Article Economics

Traffic flow on signalized streets

Carlos F. Daganzo et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2016)

Article Transportation Science & Technology

Deriving macroscopic fundamental diagrams from probe data: Issues and proposed solutions

Jianhe Du et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)

Article Transportation Science & Technology

Time-dependent area-based pricing for multimodal systems with heterogeneous users in an agent-based environment

Nan Zheng et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)

Article Transportation Science & Technology

Data fusion algorithm for macroscopic fundamental diagram estimation

Lukas Ambuhl et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)

Article Economics

Stochastic approximations for the macroscopic fundamental diagram of urban networks

Jorge A. Laval et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2015)

Article Economics

Applying variational theory to travel time estimation on urban arterials

Etienne Hans et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2015)

Article Transportation Science & Technology

Marginal cost congestion pricing based on the network fundamental diagram

M. D. Simoni et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)

Article Economics

Macroscopic Fundamental Diagrams: A cross-comparison of estimation methods

Ludovic Leclercq et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2014)

Article Economics

On the impacts of locally adaptive signal control on urban network stability and the Macroscopic Fundamental Diagram

Vikash V. Gayah et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2014)

Article Engineering, Civil

Accuracy of Networkwide Traffic States Estimated from Mobile Probe Data

Andrew S. Nagle et al.

TRANSPORTATION RESEARCH RECORD (2014)

Article Engineering, Civil

Influence of Road Layout on Network Fundamental Diagram

Victor L. Knoop et al.

TRANSPORTATION RESEARCH RECORD (2014)

Article Operations Research & Management Science

Network capacity, traffic instability, and adaptive driving: findings from simulated urban network experiments

Meead Saberi et al.

EURO JOURNAL ON TRANSPORTATION AND LOGISTICS (2014)

Article Urban Studies

Traffic performance on quasi-grid urban structures

Javier Ortigosa et al.

CITIES (2014)

Article Engineering, Civil

Optimal Perimeter Control for Two Urban Regions With Macroscopic Fundamental Diagrams: A Model Predictive Approach

Nikolas Geroliminis et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)

Article Economics

Perimeter and boundary flow control in multi-reservoir heterogeneous networks

Konstantinos Aboudolas et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2013)

Article Economics

Estimating MFDs in simple networks with route choice

Ludovic Leclercq et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2013)

Article Transportation Science & Technology

Urban congestion gating control based on reduced operational network fundamental diagrams

Mehdi Keyvan-Ekbatani et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2013)

Article Engineering, Civil

Empirics of a Generalized Macroscopic Fundamental Diagram for Urban Freeways

Victor L. Knoop et al.

TRANSPORTATION RESEARCH RECORD (2013)

Article Economics

A dynamic cordon pricing scheme combining the Macroscopic Fundamental Diagram and an agent-based traffic model

Nan Zheng et al.

TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2012)

Article Economics

Morning commute with competing modes and distributed demand: User equilibrium, system optimum, and pricing

Eric J. Gonzales et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2012)

Article Economics

The effect of variability of urban systems characteristics in the network capacity

Nikolas Geroliminis et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2012)

Article Economics

Exploiting the fundamental diagram of urban networks for feedback-based gating

Mehdi Keyvan-Ekbatani et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2012)

Article Economics

Macroscopic relations of urban traffic variables: Bifurcations, multivaluedness and instability

Carlos F. Daganzo et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2011)

Article Economics

Properties of a well-defined macroscopic fundamental diagram for urban traffic

Nikolas Geroliminis et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2011)

Article Economics

Clockwise hysteresis loops in the Macroscopic Fundamental Diagram: An effect of network instability

Vikash V. Gayah et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2011)

Article Multidisciplinary Sciences

The spatial variability of vehicle densities as determinant of urban network capacity

Amin Mazloumian et al.

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2010)

Article Engineering, Civil

Exploring the Impact of Homogeneity of Traffic Measurements on the Existence of Macroscopic Fundamental Diagrams

Christine Buisson et al.

TRANSPORTATION RESEARCH RECORD (2009)

Article Economics

Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings

Nikolas Geroliminis et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2008)

Article Economics

An analytical approximation for the macroscopic fundamental diagram of urban traffic

Carlos F. Daganzo et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2008)

Article Economics

Urban gridlock: Macroscopic modeling and mitigation approaches

Carlos F. Daganzo

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2007)

Article Economics

In traffic flow, cellular automata = kinematic waves

CF Daganzo

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2006)

Article Economics

A variational formulation of kinematic waves: basic theory and complex boundary conditions

CF Daganzo

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2005)

Article Economics

Improved velocity estimation using single loop detectors

B Coifman

TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2001)