Safe Schedule Verification for Urban Air Mobility Networks With Node Closures
Q. Wei; G. Nilsson; S. Coogan
Ieee Transactions On Control Of Network Systems. 2024-06-01. Vol. 11, num. 2, p. 855-866. DOI : 10.1109/TCNS.2023.3314570. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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). 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. Real-time estimation of travel times on signalized arterials
A. Skabardonis; N. Geroliminis
Transportation and Traffic Theory. 2005. p. 387-406. 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. » See the LUTS complete publications list
