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× 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.
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