International Journals

The Strong Integral Input-to-State Stability Property in Dynamical Flow Networks

G. Nilsson; S. Coogan 

Ieee Transactions On Automatic Control. 2024-02-01. Vol. 69, num. 2, p. 1179-1185. DOI : 10.1109/TAC.2023.3277924.

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GreenEVT: Greensboro Electric Vehicle Testbed

G. Nilsson; A. D. O. Aquino; S. Coogan; D. K. Molzahn 

Ieee Systems Journal. 2024-01-09. DOI : 10.1109/JSYST.2023.3343692.

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Determination of server location in emergency care systems: an index proposal using data envelopment analysis and the hypercube queuing model

E. B. Mariano; R. M. Siqueira; C. V. Beojone; O. R. Luiz; J. V. R. Luiz et al. 

Peerj Computer Science. 2023-11-03. Vol. 9, p. e1637. DOI : 10.7717/peerj-cs.1637.

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Relocation incentives for ride-sourcing drivers with path-oriented revenue forecasting based on a Markov Chain model

C. V. Beojone; N. Geroliminis 

Transportation Research Part C-Emerging Technologies. 2023-10-30. Vol. 157, p. 104375. DOI : 10.1016/j.trc.2023.104375.

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From Prediction to Prevention: Leveraging Deep Learning in Traffic Accident Prediction Systems

Z. Jin; B. Noh 

Electronics. 2023-10-01. Vol. 12, num. 20, p. 4335. DOI : 10.3390/electronics12204335.

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A dynamic multi-region MFD model for ride-sourcing with ridesplitting

C. V. Beojone; N. Geroliminis 

Transportation Research Part B-Methodological. 2023-09-21. Vol. 177, p. 102821. DOI : 10.1016/j.trb.2023.102821.

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A Linear-Parameter-Varying Formulation for Model Predictive Perimeter Control in Multi-Region MFD Urban Networks

A. Kouvelas; M. Saeedmanesh; N. Geroliminis 

Transportation Science. 2023-08-14. DOI : 10.1287/trsc.2022.0103.

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Traffic congestion and noise emissions with detailed vehicle trajectories from UAVs

J. Espadaler-Clapes; E. Barmpounakis; N. Geroliminis 

Transportation Research Part D-Transport And Environment. 2023-08-01. Vol. 121, p. 103822. DOI : 10.1016/j.trd.2023.103822.

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A continuum approximation approach to the depot location problem in a crowd-shipping system

P. Stokkink; N. Geroliminis 

Transportation Research Part E-Logistics And Transportation Review. 2023-06-30. Vol. 176, p. 103207. DOI : 10.1016/j.tre.2023.103207.

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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-Emerging Technologies. 2023-04-26. Vol. 152, p. 104128. DOI : 10.1016/j.trc.2023.104128.

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Visual extensions and anomaly detection in the pNEUMA experiment with a swarm of drones

S. Kim; G. Anagnostopoulos; E. Barmpounakis; N. Geroliminis 

Transportation Research Part C-Emerging Technologies. 2023-02-01. Vol. 147, p. 103966. DOI : 10.1016/j.trc.2022.103966.

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Resource aware pricing for electric vehicle charging

C. Santoyo; G. Nilsson; S. Coogan 

Automatica. 2023-02-01. Vol. 148, p. 110733. DOI : 10.1016/j.automatica.2022.110733.

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Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets

M. Maljkovic; G. Nilsson; N. Geroliminis 

IEEE Transactions on Control Systems Technology. 2023. DOI : 10.1109/TCST.2023.3286330.

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Sensitivity to user mischaracterizations in electric vehicle charging

C. Santoyo; G. Nilsson; S. Coogan 

Systems & Control Letters. 2023-01-01. Vol. 171, p. 105412. DOI : 10.1016/j.sysconle.2022.105412.

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Ride-sharing with inflexible drivers in the Paris metropolitan area

A. de Palma; L. Javaudin; P. Stokkink; L. Tarpin-Pitre 

Transportation. 2022-12-01. DOI : 10.1007/s11116-022-10361-1.

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Incentive-based electric vehicle charging for managing bottleneck congestion

C. Cenedese; P. Stokkink; N. Geroliminis; J. Lygeros 

European Journal Of Control. 2022-11-01. Vol. 68. DOI : 10.1016/j.ejcon.2022.100697.

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Impacts of Metering-Based Dynamic Priority Schemes

R. Lamotte; A. de Palma; N. Geroliminis 

Transportation Science. 2022. Vol. 56, num. 2, p. 358-380. DOI : 10.1287/trsc.2021.1091.

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Perimeter Control and Route Guidance of Multi-Region MFD Systems With Boundary Queues Using Colored Petri Nets

H. Fu; S. Chen; K. Chen; A. Kouvelas; N. Geroliminis 

Ieee Transactions On Intelligent Transportation Systems. 2022. Vol. 23, num. 8, p. 12977-12999. DOI : 10.1109/TITS.2021.3119017.

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Experimental assessment of traffic density estimation at link and network level with sparse data

A. Takayasu; L. Leclercq; N. Geroliminis 

Transportmetrica B-Transport Dynamics. 2022. Vol. 10, num. 1, p. 368-395. DOI : 10.1080/21680566.2021.2002738.

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Empirical investigation of the emission-macroscopic fundamental diagram

E. Barmpounakis; M. Montesinos-Ferrer; E. J. Gonzales; N. Geroliminis 

Transportation Research Part D-Transport And Environment. 2021-12-01. Vol. 101, p. 103090. DOI : 10.1016/j.trd.2021.103090.

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Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

S. Kwak; N. Geroliminis 

Ieee Transactions On Intelligent Transportation Systems. 2021-12-01. Vol. 22, num. 12, p. 7667-7677. DOI : 10.1109/TITS.2020.3006910.

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Dynamical efficiency for multimodal time-varying transportation networks

L. Bellocchi; V. Latora; N. Geroliminis 

Scientific Reports. 2021-11-29. Vol. 11, num. 1, p. 23065. DOI : 10.1038/s41598-021-02418-5.

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Operational analysis of an innovative semi-autonomous on-demand transportation system

M. Repoux; N. Geroliminis; M. Kaspi 

Transportation Research Part C-Emerging Technologies. 2021-11-01. Vol. 132, p. 103373. DOI : 10.1016/j.trc.2021.103373.

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An extended Kalman filter approach for real-time state estimation in multi-region MFD urban networks

M. Saeedmanesh; A. Kouvelas; N. Geroliminis 

Transportation Research Part C-Emerging Technologies. 2021-11-01. Vol. 132, p. 103384. DOI : 10.1016/j.trc.2021.103384.

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

M. Paipuri; E. Barmpounakis; N. Geroliminis; L. Leclercq 

Transportation Research Part C-Emerging Technologies. 2021-10-01. Vol. 131, p. 103300. DOI : 10.1016/j.trc.2021.103300.

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Dedicated bus lane network design under demand diversion and dynamic traffic congestion: An aggregated network and continuous approximation model approach

A. Petit; M. Yildirimoglu; N. Geroliminis; Y. Ouyang 

Transportation Research Part C-Emerging Technologies. 2021-07-01. Vol. 128, p. 103187. DOI : 10.1016/j.trc.2021.103187.

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Predictive user-based relocation through incentives in one-way car-sharing systems

P. Stokkink; N. Geroliminis 

Transportation Research Part B: Methodological. 2021-05-25. Vol. 149, p. 230-249. DOI : 10.1016/j.trb.2021.05.008.

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Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics

I. I. Sirmatel; D. Tsitsokas; A. Kouvelas; N. Geroliminis 

Transportation Research Part C: Emerging Technologies. 2021-05-19. Vol. 128, p. 103157. DOI : 10.1016/j.trc.2021.103157.

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Modeling and optimization of dedicated bus lanes space allocation in large networks with dynamic congestion

D. Tsitsokas; A. Kouvelas; N. Geroliminis 

Transportation Research Part C: Emerging Technologies. 2021-05-01. Vol. 127, p. 103082. DOI : 10.1016/j.trc.2021.103082.

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Monotonicity in the trip scheduling problem

R. Lamotte; N. Geroliminis 

Transportation Research Part B-Methodological. 2021-04-01. Vol. 146, p. 14-25. DOI : 10.1016/j.trb.2021.02.001.

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Stabilization of city-scale road traffic networks via macroscopic fundamental diagram-based model predictive perimeter control

I. I. Sirmatel; N. Geroliminis 

Control Engineering Practice. 2021-01-29. Vol. 109, p. 104750. DOI : 10.1016/j.conengprac.2021.104750.

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Integrated analysis for Transportation Systems in the Connected Era

W. Liu; X. Qu; A. Sumalee; N. Geroliminis 

Transportmetrica A-Transport Science. 2021-01-22. Vol. 17, num. 2, p. 169-170. DOI : 10.1080/23249935.2020.1810821.

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Traffic Signal Prediction on Transportation Networks Using Spatio-Temporal Correlations on Graphs

S. Kwak; N. Geroliminis; P. Frossard 

Ieee Transactions On Signal And Information Processing Over Networks. 2021-01-01. Vol. 7, p. 648-659. DOI : 10.1109/TSIPN.2021.3118489.

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On the inefficiency of ride-sourcing services towards urban congestion

C. V. Beojone; N. Geroliminis 

Transportation Research Part C: Emerging Technologies. 2020-12-24. Vol. 124, p. 102890. DOI : 10.1016/j.trc.2020.102890.

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

H. Fu; Y. Wang; X. Tang; N. Zheng; N. Geroliminis 

Transportation Research Part C-Emerging Technologies. 2020-09-01. Vol. 118, p. 102725. DOI : 10.1016/j.trc.2020.102725.

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Editorial [Transportation Research Part B: Methodological]

L. Leclercq; N. Geroliminis 

Transportation Research Part B-Methodological. 2020-07-01. Vol. 137, p. 1-1. DOI : 10.1016/j.trb.2020.05.018.

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Lane Detection and Lane-Changing Identification with High-Resolution Data from a Swarm of Drones

E. Barmpounakis; G. M. Sauvin; N. Geroliminis 

Transportation Research Record. 2020-06-05. Vol. 2674, num. 7, p. 1-15. DOI : 10.1177/0361198120920627.

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

Y. Ren; Z. Hou; I. I. Sirmatel; N. Geroliminis 

Transportation Research Part C: Emerging Technologies. 2020-06-01. Vol. 115, p. 102618. DOI : 10.1016/j.trc.2020.102618.

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Area-based equitable pricing strategies for multimodal urban networks with heterogeneous users

N. Zheng; N. Geroliminis 

Transportation Research Part A-Policy And Practice. 2020-06-01. Vol. 136, p. 357-374. DOI : 10.1016/j.tra.2020.04.009.

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Dynamic lane restrictions on congested arterials

P. Anderson; N. Geroliminis 

Transportation Research Part A-Policy And Practice. 2020-05-01. Vol. 135, p. 224-243. DOI : 10.1016/j.tra.2020.03.009.

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Preface

N. Geroliminis; L. Leclercq 

Transportation Research Part C-Emerging Technologies. 2020-04-01. Vol. 113, p. 1-1. DOI : 10.1016/j.trc.2020.02.029.

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Unraveling reaction-diffusion-like dynamics in urban congestion propagation: Insights from a large-scale road network

L. Bellocchi; N. Geroliminis 

Scientific Reports. 2020-03-17. Vol. 10, num. 1, p. 4876. DOI : 10.1038/s41598-020-61486-1.

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Estimating network travel time reliability with network partitioning

R. Saedi; M. Saeedmanesh; A. Zockaie; M. Saberi; N. Geroliminis et al. 

Transportation Research Part C-Emerging Technologies. 2020-03-01. Vol. 112, p. 46-61. DOI : 10.1016/j.trc.2020.01.013.

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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 Technologies. 2020-02-01. Vol. 111, p. 50-71. DOI : 10.1016/j.trc.2019.11.023.

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Preface (TR part B)

N. Geroliminis; L. Leclercq 

Transportation Research Part B-Methodological. 2020-02-01. Vol. 132, p. 1-1. DOI : 10.1016/j.trb.2020.02.002.

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Nonlinear Moving Horizon Estimation for Large-Scale Urban Road Networks

I. I. Sirmatel; N. Geroliminis 

IEEE Transactions on Intelligent Transportation Systems. 2020. Vol. 21, num. 12, p. 4983-4994. DOI : 10.1109/TITS.2019.2946324.

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Dynamic prediction-based relocation policies in one-way station-based carsharing systems with complete journey reservations

M. Repoux; M. Kaspi; B. Boyaci; N. Geroliminis 

Transportation Research Part B-Methodological. 2019-12-01. Vol. 130, p. 82-104. DOI : 10.1016/j.trb.2019.10.004.

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Estimation of regional trip length distributions for the calibration of the aggregated network traffic models

S. F. A. Batista; L. Leclercq; N. Geroliminis 

Transportation Research Part B-Methodological. 2019-04-01. Vol. 122, p. 192-217. DOI : 10.1016/j.trb.2019.02.009.

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The electric autonomous dial-a-ride problem

C. Bongiovanni; M. Kaspi; N. Geroliminis 

Transportation Research Part B: Methodological. 2019-03-01. Vol. 122, p. 436-456. DOI : 10.1016/j.trb.2019.03.004.

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

M. Yildirimoglu; I. I. Sirmatel; N. Geroliminis 

Transportation Research Part B: Methodological. 2018-12-01. Vol. 118, p. 106-123. DOI : 10.1016/j.trb.2018.10.007.

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A systematic analysis of multimodal transport systems with road space distribution and responsive bus service

F. Zhang; N. Zheng; H. Yang; N. Geroliminis 

Transportation Research Part C-Emerging Technologies. 2018-11-01. Vol. 96, p. 208-230. DOI : 10.1016/j.trc.2018.09.009.

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Special issue on “Management of Future Motorway and Urban Traffic Systems”

C. Roncoli; N. Bekiaris-Liberis; R. C. Carlson; N. Geroliminis 

Transportation Research Part C-Emerging Technologies. 2018-11-01. Vol. 96, p. 1-2. DOI : 10.1016/j.trc.2018.09.005.

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Mixed logical dynamical modeling and hybrid model predictive control of public transport operations

I. Sirmatel; N. Geroliminis 

Transportation Research Part B: Methodological. 2018. Vol. 114, p. 325-345. DOI : 10.1016/j.trb.2018.06.009.

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The morning commute in urban areas with heterogeneous trip lengths

R. Lamotte; N. Geroliminis 

Transportation Research Part B: Methodological. 2018. Vol. 117B, p. 794-810. DOI : 10.1016/j.trb.2017.08.023.

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Economic Model Predictive Control of Large-Scale Urban Road Networks via Perimeter Control and Regional Route Guidance

I. I. Sirmatel; N. Geroliminis 

IEEE Transactions on Intelligent Transportation Systems. 2018. Vol. 19, num. 4, p. 1112-1121. DOI : 10.1109/TITS.2017.2716541.

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

M. Saeedmanesh; N. Geroliminis 

Journal of Transportation Research Part B, Methodological. 2017-09-14. Vol. 105, p. 193-211. DOI : 10.1016/j.trpro.2017.05.053.

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Macroscopic modelling and robust control of bi-modal multi-region urban road networks

K. Ampountolas; N. Zheng; N. Geroliminis 

Transportation Research Part B: Methodological. 2017. Vol. 104, p. 616-637. DOI : 10.1016/j.trb.2017.05.007.

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Macroscopic Approach for Optimizing Road Space Allocation of Bus Lanes in Multimodal Urban Networks Through Simulation Analysis

N. Zheng; T. Dantsuji; P. Wang; N. Geroliminis 

Transportation Research Record: Journal of the Transportation Research Board. 2017. Vol. 2651, p. 42-51. DOI : 10.3141/2651-05.

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Doubly dynamics for multi-modal networks with park-and-ride and adaptive pricing

W. Liu; N. Geroliminis 

Transportation Research Part B: Methodological. 2017. Vol. 102, p. 162-179. DOI : 10.1016/j.trb.2017.05.010.

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On the use of reservation-based autonomous vehicles for demand management

R. Lamotte; A. de Palma; N. Geroliminis 

Transportation Research Part B: Methodological. 2017. Vol. 99, p. 205-227. DOI : 10.1016/j.trb.2017.01.003.

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Enhancing model-based feedback perimeter control with data-driven online adaptive optimization

A. Kouvelas; M. Saeedmanesh; N. Geroliminis 

Transportation Research Part B: Methodological. 2017. Vol. 96, p. 26-45. DOI : 10.1016/j.trb.2016.10.011.

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An integrated optimization-simulation framework for vehicle and personnel relocations of electric carsharing systems with reservations

B. Boyaci; K. Zografos; N. Geroliminis 

Transportation Research Part B Methodological. 2017. Vol. 95, p. 214-237. DOI : 10.1016/j.trb.2016.10.007.

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A link partitioning approach for real-time control of queue spillbacks on congested arterials

m. Ramezani; N. de Lamberterie; A. Skabardonis; N. Geroliminis 

Transportmetrica B: Transport Dynamics. 2016. Vol. 5, num. 2, p. 181-194. DOI : 10.1080/21680566.2016.1142399.

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Recent advances in ITS, traffic flow theory, and network operations

Y. Wang; N. Geroliminis; L. Leclercq 

Transportation Research Part C-Emerging Technologies. 2016. Vol. 68, p. 507-508. DOI : 10.1016/j.trc.2016.05.008.

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

M. Saeedmanesh; N. Geroliminis 

Transportation Research Part B Methodological. 2016. Vol. 91, p. 250-269. DOI : 10.1016/j.trb.2016.05.008.

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Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach

W. Liu; N. Geroliminis 

Transportation Research Part B Methodological. 2016. Vol. 93, p. 470-494. DOI : 10.1016/j.trb.2016.08.004.

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

N. Zheng; G. Rerat; N. Geroliminis 

Transportation Research Part C Emerging Technologies. 2016. Vol. 62, p. 133-148. DOI : 10.1016/j.trc.2015.10.015.

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Modeling and optimization of multimodal urban networks with limited parking and dynamic pricing

N. Zheng; N. Geroliminis 

Transportation Research Part B Methodological. 2016. Vol. 83, p. 36-58. DOI : 10.1016/j.trb.2015.10.008.

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Special Issue on Advanced network traffic management: From dynamic state estimation to traffic control

C. Antoniou; H. B. Celikoglu; N. Geroliminis 

Transportation Research Part C-Emerging Technologies. 2016. Vol. 66, p. 1-2. DOI : 10.1016/j.trc.2016.03.005.

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Cruising-for-parking in congested cities with an MFD representation

N. Geroliminis 

Economics Of Transportation. 2015. Vol. 4, num. 3, p. 156-165. DOI : 10.1016/j.ecotra.2015.04.001.

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Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control

M. Ramezani Ghalenoei; J. Haddad; N. Geroliminis 

Transportation Research Part B: Methodological. 2015. Vol. 74, p. 1-19. DOI : 10.1016/j.trb.2014.12.010.

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Equilibrium analysis and route guidance in large-scale networks with MFD dynamics

M. Yildirimoglu; M. Ramezani Ghalenoei; N. Geroliminis 

Transportation Research Part C: Emerging Technologies. 2015. Vol. 59, p. 404-420. DOI : 10.1016/j.trc.2015.05.009.

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Investigating empirical implications of hysteresis in day-to-day travel time variability

M. Yildirimoglu; Y. Limniati; N. Geroliminis 

Transportation Research Part C-Emerging Technologies. 2015. Vol. 55, p. 340-350. DOI : 10.1016/j.trc.2015.03.012.

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Multiple Concentric Gating Traffic Control in Large-Scale Urban Networks

M. Keyvan-Ekbatani; M. Yildirimoglu; N. Geroliminis; M. Papageorgiou 

IEEE Transactions On Intelligent Transportation Systems. 2015. Vol. 16, num. 4, p. 2141-2154. DOI : 10.1109/Tits.2015.2399303.

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Approximation methods for large-scale spatial queueing systems

B. Boyaci; N. Geroliminis 

Transportation Research Part B-Methodological. 2015. Vol. 74, p. 151-181. DOI : 10.1016/j.trb.2014.12.011.

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An optimization framework for the development of efficient one-way car-sharing systems

B. Boyaci; K. Zografos; N. Geroliminis 

European Journal of Operational Research. 2015. Vol. 240, num. 3, p. 718-733. DOI : 10.1016/j.ejor.2014.07.020.

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Optimal Hybrid Perimeter and Switching Plans Control for Urban Traffic Networks

M. Hajiahmadi; J. Haddad; B. De Schutter; N. Geroliminis 

IEEE Transactions on Control Systems Technology. 2015. Vol. 23, num. 2, p. 464-478. DOI : 10.1109/TCST.2014.2330997.

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Queue Profile Estimation in Congested Urban Networks with Probe Data

M. Ramezani Ghalenoei; N. Geroliminis 

Computer-Aided Civil and Infrastructure Engineering. 2015. Vol. 30, num. 6, p. 414-432. DOI : 10.1111/mice.12095.

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Empirical Observations of Congestion Propagation and Dynamic Partitioning with Probe Data for Large-Scale Systems

Y. Ji; J. Luo; N. Geroliminis 

Transportation Research Record. 2014. Vol. 2422, num. 2, p. 1-11. DOI : 10.3141/2422-01.

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Approximating dynamic equilibrium conditions with macroscopic fundamental diagrams

M. Yildirimoglu; N. Geroliminis 

Transportation Research Part B Methodological. 2014. Vol. 70, p. 186-200. DOI : 10.1016/j.trb.2014.09.002.

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A three-dimensional macroscopic fundamental diagram for mixed bi-modal urban networks

N. Geroliminis; N. Zheng; K. Ampountolas 

Transportation Research Part C-Emerging Technologies. 2014. Vol. 42, p. 168-181. DOI : 10.1016/j.trc.2014.03.004.

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Experienced travel time prediction for congested freeways

M. Yildirimoglu; N. Geroliminis 

Transportation Research Part B Methodological. 2013. Vol. 53, p. 45-63. DOI : 10.1016/j.trb.2013.03.006.

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Empirical observations of capacity drop in freeway merges with ramp control and integration in a first-order model

A. Srivastava; N. Geroliminis 

Transportation Research Part C Emerging Technologies. 2013. Vol. 30, p. 161-177. DOI : 10.1016/j.trc.2013.02.006.

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Cooperative traffic control of a mixed network with two urban regions and a freeway

J. Haddad; M. Ramezani Ghalenoei; N. Geroliminis 

Transportation Research Part B Methodological. 2013. Vol. 54, p. 17-36. DOI : 10.1016/j.trb.2013.03.007.

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On the distribution of urban road space for multimodal congested networks

N. Zheng; N. Geroliminis 

Transportation Research Part B Methodological. 2013. Vol. 57, p. 326-341. DOI : 10.1016/j.trb.2013.06.003.

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Estimating MFDs in simple networks with route choice

L. Leclercq; N. Geroliminis 

Transportation Research Part B Methodological. 2013. Vol. 57, p. 468-484. DOI : 10.1016/j.trb.2013.05.005.

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Perimeter and boundary flow control in multi-reservoir heterogeneous networks

K. Aboudolas; N. Geroliminis 

Transportation Research Part B Methodological. 2013. Vol. 55, p. 265-281. DOI : 10.1016/j.trb.2013.07.003.

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City size, network structure and traffic congestion

T. Tsekeris; N. Geroliminis 

Journal of Urban Economics. 2013. Vol. 76, p. 1-14. DOI : 10.1016/j.jue.2013.01.002.

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Prediction of vehicle activity for emissions estimation under oversaturated conditions along signalized arterials

A. Skabardonis; N. Geroliminis; E. Christofa 

Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 2013. Vol. 17, num. 3, p. 191-199. DOI : 10.1080/15472450.2012.704338.

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

N. Geroliminis; J. Haddad; M. Ramezani Ghalenoei 

IEEE Transactions on Intelligent Transportation Systems. 2013. Vol. 14, num. 1, p. 348-359. DOI : 10.1109/TITS.2012.2216877.

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A Dynamic Cordon Pricing Scheme combining a Macroscopic and an Agent-based traffic Models

N. Zheng; R. Waraich; K. Axhausen; N. Geroliminis 

Transportation Research Part A: Policy and Practice. 2012. Vol. 46, num. 8, p. 1291-1303. DOI : 10.1016/j.tra.2012.05.006.

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On the stability of traffic perimeter control in two-region urban cities

J. Haddad; N. Geroliminis 

Transportation Research Part B Methodological. 2012. Vol. 46, num. 9, p. 1159-1176. DOI : 10.1016/j.trb.2012.04.004.

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On the spatial partitioning of urban transportation networks

Y. Ji; N. Geroliminis 

Transportation Research Part B Methodological. 2012. Vol. 46, num. 10, p. 1639-1656. DOI : 10.1016/j.trb.2012.08.005.

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On the estimation of arterial route travel time distribution with Markov chains

M. Ramezani Ghalenoei; N. Geroliminis 

Transportation Research Part B Methodological. 2012. Vol. 46, num. 10, p. 1576-1590. DOI : 10.1016/j.trb.2012.08.004.

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

N. Geroliminis; B. Boyaci 

Transportation Research Part B Methodological. 2012. Vol. 46, num. 10, p. 1607-1623. DOI : 10.1016/j.trb.2012.08.001.

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Hysteresis phenomena of a Macroscopic Fundamental Diagram in freeway networks

N. Geroliminis; J. Sun 

Transportation Research Part A: Policy and Practice. 2011. Vol. 45, num. 9, p. 966-979. DOI : 10.1016/j.tra.2011.04.004.

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A Dynamic-Zone-Based Coordinated Ramp-Metering Algorithm With Queue Constraints for Minnesota’s Freeways

N. Geroliminis; A. Srivastava; P. Michalopoulos 

IEEE Transactions on Intelligent Transportation Systems. 2011. Vol. 12, num. 4, p. 1576-1586. DOI : 10.1109/TITS.2011.2164792.

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Identification and Analysis of Queue Spillovers in City Street Networks

N. Geroliminis; A. Skabardonis 

IEEE Transactions on Intelligent Transportation Systems. 2011. Vol. 12, num. 4, p. 1107-1115. DOI : 10.1109/TITS.2011.2141991.

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An Empirical Analysis on the Arterial Fundamental Diagram

X. Wu; H. Liu; N. Geroliminis 

Transportation Research Part B Methodological. 2011. Vol. 45, num. 1, p. 255-266. DOI : 10.1016/j.trb.2010.06.003.

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A hybrid hypercube – genetic algorithm approach for deploying many emergency response mobile units in an urban network

N. Geroliminis; K. Kepaptsoglou; M. Karlaftis 

European Journal of Operations Research. 2011. Vol. 210, num. 2, p. 287-300. DOI : 10.1016/j.ejor.2010.08.031.

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Properties of a well-defined Macroscopic Fundamental Diagram for urban traffic

N. Geroliminis; J. Sun 

Transportation Research Part B Methodological. 2011. Vol. 45, num. 3, p. 605-617. DOI : 10.1016/j.trb.2010.11.004.

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On the allocation of city space to multiple transport modes

E. Gonzales; N. Geroliminis; M. Cassidy; C. Daganzo 

Transportation Planning and Technology. 2010. Vol. 33, num. 8, p. 643-656. DOI : 10.1080/03081060.2010.527171.

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

A. Mazloumian; N. Geroliminis; D. Helbing 

Philosophical Transactions of Royal Society A: Mathematical, Physical & Engineering Sciences. 2010. Vol. 368, num. 1928, p. 4627-4648. DOI : 10.1098/rsta.2010.0099.

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The importance of being early

P. Parthasarathi; A. Srivastava; N. Geroliminis; D. Levinson 

Transportation. 2010. Vol. 38, num. 2, p. 227-247. DOI : 10.1007/s11116-010-9301-1.

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Cordon pricing consistent with the physics of overcrowding

N. Geroliminis; D. Levinson 

Transportation and Traffic Theory. 2009.  p. 219-240. DOI : 10.1007/978-1-4419-0820-9.

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A spatial queuing model for the emergency vehicle districting and location problem

N. Geroliminis; M. G. Karlaftis; A. Skabardonis 

Transportation Research Part B-Methodological. 2009. Vol. 43, num. 7, p. 798-811. DOI : 10.1016/j.trb.2009.01.006.

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Real-time monitoring and control on signalized arterials

A. Skabardonis; N. Geroliminis 

Journal of Intelligent Transportation Systems. 2008. Vol. 12, num. 2, p. 64-74. DOI : 10.1080/15472450802023337.

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

N. Geroliminis; C. F. Daganzo 

Transportation Research Part B Methodological. 2008. Vol. 42, num. 9, p. 759-770. DOI : 10.1016/j.trb.2008.02.002.

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Empirical and Analytical Investigation of Traffic Flow Regimes and Transitions in Signalized Arterials

E. I. Vlahogianni; N. Geroliminis; A. Skabardonis 

Journal of Transportation Engineering-Asce. 2008. Vol. 134, num. 12, p. 512-522. DOI : 10.1061/(ASCE)0733-947X(2008)134:12(512).

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An analytical approximation for the macroscopic fundamental diagram of urban traffic

C. F. Daganzo; N. Geroliminis 

Transportation Research Part B-Methodological. 2008. Vol. 42, num. 9, p. 771-781. DOI : 10.1016/j.trb.2008.06.008.

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Statistical characteristics of transitional queue conditions in signalized arterials

E. I. Vlahogianni; C. L. Webber; N. Geroliminis; A. Skabardonis 

Transportation Research Part C-Emerging Technologies. 2007. Vol. 15, num. 6, p. 392-403. DOI : 10.1016/j.trc.2007.07.003.

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Real-time estimation of travel times on signalized arterials

A. Skabardonis; N. Geroliminis 

Transportation and Traffic Theory. 2005.  p. 387-406.

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Prediction of arrival profiles and queue lengths along signalized arterials, by using a Markov decision process

N. Geroliminis; A. Skabardonis 

Transportation Research Record. 2005. Vol. 1934, p. 116-124. DOI : 10.1177/0361198105193400112.

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