Year |
Citation |
Score |
2020 |
Barmpounakis E, Sauvin GM, Geroliminis N. Lane Detection and Lane-Changing Identification with High-Resolution Data from a Swarm of Drones: Transportation Research Record. 2674: 1-15. DOI: 10.1177/0361198120920627 |
0.317 |
|
2020 |
Fu H, Wang Y, Tang X, Zheng N, Geroliminis N. Empirical analysis of large-scale multimodal traffic with multi-sensor data Transportation Research Part C-Emerging Technologies. 118: 102725. DOI: 10.1016/J.Trc.2020.102725 |
0.672 |
|
2017 |
Saeedmanesh M, Geroliminis N. Dynamic clustering and propagation of congestion in heterogeneously congested urban traffic networks Transportation Research Part B-Methodological. 105: 193-211. DOI: 10.1016/J.Trb.2017.08.021 |
0.466 |
|
2017 |
Kouvelas A, Saeedmanesh M, Geroliminis N. Enhancing model-based feedback perimeter control with data-driven online adaptive optimization Transportation Research Part B-Methodological. 96: 26-45. DOI: 10.1016/J.Trb.2016.10.011 |
0.573 |
|
2017 |
Sirmatel II, Geroliminis N. Dynamical Modeling and Predictive Control of Bus Transport Systems: A Hybrid Systems Approach Ifac-Papersonline. 50: 7499-7504. DOI: 10.1016/J.Ifacol.2017.08.1067 |
0.468 |
|
2016 |
Ramezani M, de Lamberterie N, Skabardonis A, Geroliminis N. A link partitioning approach for real-time control of queue spillbacks on congested arterials Transportmetrica B. 1-14. DOI: 10.1080/21680566.2016.1142399 |
0.738 |
|
2016 |
Wang Y, Geroliminis N, Leclercq L. Recent advances in ITS, traffic flow theory, and network operations Transportation Research Part C: Emerging Technologies. 68: 507-508. DOI: 10.1016/j.trc.2016.05.008 |
0.348 |
|
2016 |
Antoniou C, Celikoglu HB, Geroliminis N. Special Issue on Advanced network traffic management: From dynamic state estimation to traffic control Transportation Research Part C: Emerging Technologies. 66: 1-2. DOI: 10.1016/j.trc.2016.03.005 |
0.399 |
|
2016 |
Liu W, Geroliminis N. Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach Transportation Research Part B: Methodological. 93: 470-494. DOI: 10.1016/J.Trb.2016.08.004 |
0.564 |
|
2016 |
Saeedmanesh M, Geroliminis N. Clustering of heterogeneous networks with directional flows based on "Snake" similarities Transportation Research Part B: Methodological. 91: 250-269. DOI: 10.1016/J.Trb.2016.05.008 |
0.561 |
|
2016 |
Zheng N, Geroliminis N. Modeling and optimization of multimodal urban networks with limited parking and dynamic pricing Transportation Research Part B: Methodological. 83: 36-58. DOI: 10.1016/J.Trb.2015.10.008 |
0.634 |
|
2015 |
Ramezani M, Geroliminis N. Queue Profile Estimation in Congested Urban Networks with Probe Data Computer-Aided Civil and Infrastructure Engineering. 30: 414-432. DOI: 10.1111/Mice.12095 |
0.752 |
|
2015 |
Keyvan-Ekbatani M, Yildirimoglu M, Geroliminis N, Papageorgiou M. Multiple Concentric Gating Traffic Control in Large-Scale Urban Networks Ieee Transactions On Intelligent Transportation Systems. DOI: 10.1109/Tits.2015.2399303 |
0.792 |
|
2015 |
Saeedmanesh M, Geroliminis N. Optimization-Based Clustering of Traffic Networks Using Distinct Local Components Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 2015: 2135-2140. DOI: 10.1109/ITSC.2015.345 |
0.409 |
|
2015 |
Ortigosa J, Zheng N, Menendez M, Geroliminis N. Analysis of the 3D-vMFDs of the Urban Networks of Zurich and San Francisco Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 2015: 113-118. DOI: 10.1109/ITSC.2015.27 |
0.332 |
|
2015 |
Kouvelas A, Saeedmanesh M, Geroliminis N. Feedback Perimeter Control for Heterogeneous Urban Networks Using Adaptive Optimization Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 2015: 882-887. DOI: 10.1109/ITSC.2015.148 |
0.434 |
|
2015 |
Ramezani M, Haddad J, Geroliminis N. Two-level hierarchical traffic control for heterogeneous urban networks 2015 European Control Conference, Ecc 2015. 3484-3489. DOI: 10.1109/ECC.2015.7331073 |
0.514 |
|
2015 |
Yildirimoglu M, Ramezani M, Geroliminis N. Equilibrium analysis and route guidance in large-scale networks with MFD dynamics Transportation Research Procedia. 9: 185-204. DOI: 10.1016/j.trpro.2015.07.011 |
0.503 |
|
2015 |
Zheng N, Rérat G, Geroliminis N. Time-dependent area-based pricing for multimodal systems with heterogeneous users in an agent-based environment Transportation Research Part C: Emerging Technologies. DOI: 10.1016/J.Trc.2015.10.015 |
0.561 |
|
2015 |
Yildirimoglu M, Limniati Y, Geroliminis N. Investigating empirical implications of hysteresis in day-to-day travel time variability Transportation Research Part C: Emerging Technologies. 55: 340-350. DOI: 10.1016/J.Trc.2015.03.012 |
0.76 |
|
2015 |
Ouyang Y, Geroliminis N, Nie YM. Optimization of urban transportation service networks Transportation Research Part B: Methodological. 81: 331-332. DOI: 10.1016/J.Trb.2015.09.006 |
0.556 |
|
2015 |
Boyaci B, Geroliminis N. Approximation methods for large-scale spatial queueing systems Transportation Research Part B: Methodological. 74: 151-181. DOI: 10.1016/J.Trb.2014.12.011 |
0.376 |
|
2015 |
Ramezani M, Haddad J, Geroliminis N. Dynamics of heterogeneity in urban networks: Aggregated traffic modeling and hierarchical control Transportation Research Part B: Methodological. 74: 1-19. DOI: 10.1016/J.Trb.2014.12.010 |
0.779 |
|
2015 |
Geroliminis N. Cruising-for-parking in congested cities with an MFD representation Economics of Transportation. 4: 156-165. DOI: 10.1016/J.Ecotra.2015.04.001 |
0.48 |
|
2014 |
Torne JM, Soriguera F, Geroliminis N. On the consistency of freeway macroscopic merging models Transportation Research Record. 2422: 34-41. DOI: 10.3141/2422-04 |
0.421 |
|
2014 |
Ji Y, Luo J, Geroliminis N. Empirical Observations of Congestion Propagation and Dynamic Partitioning with Probe Data for Large-Scale Systems Transportation Research Record. 2422: 1-11. DOI: 10.3141/2422-01 |
0.571 |
|
2014 |
Hajiahmadi M, Haddad J, De Schutter B, Geroliminis N. Optimal Hybrid Perimeter and Switching Plans Control for Urban Traffic Networks Ieee Transactions On Control Systems Technology. DOI: 10.1109/TCST.2014.2330997 |
0.466 |
|
2014 |
Ampountolas K, Zheng N, Geroliminis N. Robust control of bi-modal multi-region urban networks: An LMI optimisation approach 2014 17th Ieee International Conference On Intelligent Transportation Systems, Itsc 2014. 489-494. DOI: 10.1109/ITSC.2014.6957737 |
0.458 |
|
2014 |
Geroliminis N. Tutorial Session in: Large-scale hierarchical control for congested urban networks 2014 European Control Conference, Ecc 2014. 2268-2271. DOI: 10.1109/ECC.2014.6862640 |
0.471 |
|
2014 |
Ampountolas K, Zheng N, Geroliminis N. Perimeter flow control of bi-modal urban road networks: A robust feedback control approach 2014 European Control Conference, Ecc 2014. 2569-2574. DOI: 10.1109/ECC.2014.6862286 |
0.491 |
|
2014 |
Geroliminis N, Zheng N, Ampountolas K. A three-dimensional macroscopic fundamental diagram for mixed bi-modal urban networks Transportation Research Part C: Emerging Technologies. 42: 168-181. DOI: 10.1016/J.Trc.2014.03.004 |
0.634 |
|
2014 |
Yildirimoglu M, Geroliminis N. Approximating dynamic equilibrium conditions with macroscopic fundamental diagrams Transportation Research Part B: Methodological. 70: 186-200. DOI: 10.1016/J.Trb.2014.09.002 |
0.796 |
|
2013 |
Geroliminis N, Haddad J, Ramezani M. Optimal perimeter control for two urban regions with macroscopic fundamental diagrams: A model predictive approach Ieee Transactions On Intelligent Transportation Systems. 14: 348-359. DOI: 10.1109/Tits.2012.2216877 |
0.752 |
|
2013 |
Ramezani M, Geroliminis N. Exploiting probe data to estimate the queue profile in urban networks Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 1817-1822. DOI: 10.1109/ITSC.2013.6728492 |
0.402 |
|
2013 |
Zheng N, Aboudolas K, Geroliminis N. Investigation of a city-scale three-dimensional Macroscopic Fundamental Diagram for bi-modal urban traffic Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 1029-1034. DOI: 10.1109/ITSC.2013.6728367 |
0.506 |
|
2013 |
Keyvan-Ekbatani M, Yildirimoglu M, Geroliminis N, Papageorgiou M. Traffic signal perimeter control with multiple boundaries for large urban networks Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 1004-1009. DOI: 10.1109/ITSC.2013.6728363 |
0.534 |
|
2013 |
Aboudolas K, Geroliminis N. Perimeter and boundary flow control for heterogeneous transportation networks Proceedings of the Ieee Conference On Decision and Control. 288-293. DOI: 10.1109/CDC.2013.6759896 |
0.506 |
|
2013 |
Skabardonis A, Geroliminis N, Christofa E. Prediction of vehicle activity for emissions estimation under oversaturated conditions along signalized arterials Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 17: 191-199. DOI: 10.1080/15472450.2012.704338 |
0.395 |
|
2013 |
Srivastava A, Geroliminis N. Empirical observations of capacity drop in freeway merges with ramp control and integration in a first-order model Transportation Research Part C: Emerging Technologies. 30: 161-177. DOI: 10.1016/J.Trc.2013.02.006 |
0.466 |
|
2013 |
Aboudolas K, Geroliminis N. Perimeter and boundary flow control in multi-reservoir heterogeneous networks Transportation Research Part B: Methodological. 55: 265-281. DOI: 10.1016/J.Trb.2013.07.003 |
0.564 |
|
2013 |
Zheng N, Geroliminis N. On the distribution of urban road space for multimodal congested networks Transportation Research Part B: Methodological. 57: 326-341. DOI: 10.1016/J.Trb.2013.06.003 |
0.574 |
|
2013 |
Leclercq L, Geroliminis N. Estimating MFDs in simple networks with route choice Transportation Research Part B: Methodological. 57: 468-484. DOI: 10.1016/J.Trb.2013.05.005 |
0.586 |
|
2013 |
Haddad J, Ramezani M, Geroliminis N. Cooperative traffic control of a mixed network with two urban regions and a freeway Transportation Research Part B: Methodological. 54: 17-36. DOI: 10.1016/J.Trb.2013.03.007 |
0.789 |
|
2013 |
Yildirimoglu M, Geroliminis N. Experienced travel time prediction for congested freeways Transportation Research Part B: Methodological. 53: 45-63. DOI: 10.1016/J.Trb.2013.03.006 |
0.765 |
|
2013 |
Tsekeris T, Geroliminis N. City size, network structure and traffic congestion Journal of Urban Economics. 76: 1-14. DOI: 10.1016/J.Jue.2013.01.002 |
0.581 |
|
2013 |
Guo Q, Luo J, Li G, Wang X, Geroliminis N. A data-driven approach for convergence prediction on road network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7820: 41-53. DOI: 10.1007/978-3-642-37087-8_4 |
0.412 |
|
2013 |
Hajiahmadi M, Haddad J, De Schutter B, Geroliminis N. Optimal hybrid macroscopic traffic control for urban regions: Perimeter and switching signal plans controllers 2013 European Control Conference, Ecc 2013. 3500-3505. |
0.433 |
|
2013 |
Aboudolas K, Geroliminis N. Feedback perimeter control for multi-region large-scale congested networks 2013 European Control Conference, Ecc 2013. 3506-3511. |
0.504 |
|
2012 |
Ramezani M, Haddad J, Geroliminis N. Macroscopic traffic control of a mixed urban and freeway network Ifac Proceedings Volumes (Ifac-Papersonline). 89-94. DOI: 10.3182/20120912-3-Bg-2031.00017 |
0.778 |
|
2012 |
Yildirimoglu M, Geroliminis N. Experienced travel time prediction for freeway systems Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 570-575. DOI: 10.1109/ITSC.2012.6338792 |
0.394 |
|
2012 |
Ji Y, Geroliminis N. On the spatial partitioning of urban transportation networks Transportation Research Part B: Methodological. 46: 1639-1656. DOI: 10.1016/J.Trb.2012.08.005 |
0.546 |
|
2012 |
Ramezani M, Geroliminis N. On the estimation of arterial route travel time distribution with Markov chains Transportation Research Part B: Methodological. 46: 1576-1590. DOI: 10.1016/J.Trb.2012.08.004 |
0.717 |
|
2012 |
Geroliminis N, Boyaci B. The effect of variability of urban systems characteristics in the network capacity Transportation Research Part B: Methodological. 46: 1607-1623. DOI: 10.1016/J.Trb.2012.08.001 |
0.545 |
|
2012 |
Haddad J, Geroliminis N. On the stability of traffic perimeter control in two-region urban cities Transportation Research Part B: Methodological. 46: 1159-1176. DOI: 10.1016/J.Trb.2012.04.004 |
0.461 |
|
2012 |
Zheng N, Waraich RA, Axhausen KW, Geroliminis N. A dynamic cordon pricing scheme combining the Macroscopic Fundamental Diagram and an agent-based traffic model Transportation Research Part a: Policy and Practice. 46: 1291-1303. DOI: 10.1016/J.Tra.2012.05.006 |
0.577 |
|
2012 |
Haddad J, Ramezani M, Geroliminis N. Model predictive perimeter control for urban areas with macroscopic fundamental diagrams Proceedings of the American Control Conference. 5757-5762. |
0.446 |
|
2011 |
Geroliminis N, Srivastava A, Michalopoulos P. A dynamic-zone-based coordinated ramp-metering algorithm with queue constraints for Minnesota's freeways Ieee Transactions On Intelligent Transportation Systems. 12: 1576-1586. DOI: 10.1109/TITS.2011.2164792 |
0.414 |
|
2011 |
Geroliminis N, Skabardonis A. Identification and analysis of queue spillovers in city street networks Ieee Transactions On Intelligent Transportation Systems. 12: 1107-1115. DOI: 10.1109/TITS.2011.2141991 |
0.494 |
|
2011 |
Ji Y, Geroliminis N. Exploring spatial characteristics of urban transportation networks Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 716-721. DOI: 10.1109/ITSC.2011.6083062 |
0.42 |
|
2011 |
Geroliminis N, Sun J. Properties of a well-defined macroscopic fundamental diagram for urban traffic Transportation Research Part B: Methodological. 45: 605-617. DOI: 10.1016/J.Trb.2010.11.004 |
0.529 |
|
2011 |
Wu X, Liu HX, Geroliminis N. An empirical analysis on the arterial fundamental diagram Transportation Research Part B: Methodological. 45: 255-266. DOI: 10.1016/j.trb.2010.06.003 |
0.31 |
|
2011 |
Geroliminis N, Sun J. Hysteresis phenomena of a Macroscopic Fundamental Diagram in freeway networks Transportation Research Part a: Policy and Practice. 45: 966-979. DOI: 10.1016/J.Sbspro.2011.04.515 |
0.537 |
|
2011 |
Boyaci B, Geroliminis N. Estimation of the network capacity for multimodal urban systems Procedia - Social and Behavioral Sciences. 16: 803-813. DOI: 10.1016/j.sbspro.2011.04.499 |
0.446 |
|
2011 |
Parthasarathi P, Srivastava A, Geroliminis N, Levinson D. The importance of being early Transportation. 38: 227-247. DOI: 10.1007/S11116-010-9301-1 |
0.438 |
|
2010 |
Mazloumian A, Geroliminis N, Helbing D. The spatial variability of vehicle densities as determinant of urban network capacity. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 368: 4627-47. PMID 20819825 DOI: 10.1098/Rsta.2010.0099 |
0.545 |
|
2010 |
Mazloumian A, Geroliminis N, Helbing D. The spatial variability of vehicle densities as determinant of urban network capacity Philosophical Transactions of the Royal Society a: Mathematical, Physical and Engineering Sciences. 368: 4627-4647. DOI: 10.1098/rsta.2010.0099 |
0.462 |
|
2010 |
Gonzales EJ, Geroliminis N, Cassidy MJ, Daganzo CF. On the allocation of city space to multiple transport modes Transportation Planning and Technology. 33: 643-656. DOI: 10.1080/03081060.2010.527171 |
0.643 |
|
2009 |
Geroliminis N, Karlaftis MG, Skabardonis A. A spatial queuing model for the emergency vehicle districting and location problem Transportation Research Part B: Methodological. 43: 798-811. DOI: 10.1016/j.trb.2009.01.006 |
0.366 |
|
2008 |
Geroliminis N, Kuwahara M. The use of telematics to monitor traffic in urban areas: theory and applications Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 748-753. DOI: 10.1109/ITSC.2008.4732526 |
0.388 |
|
2008 |
Skabardonis A, Geroliminis N. Real-time monitoring and control on signalized arterials Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 12: 64-74. DOI: 10.1080/15472450802023337 |
0.318 |
|
2008 |
Vlahogianni EI, Geroliminis N, Skabardonis A. Empirical and analytical investigation of traffic flow regimes and transitions in signalized arterials Journal of Transportation Engineering. 134: 512-522. DOI: 10.1061/(ASCE)0733-947X(2008)134:12(512) |
0.363 |
|
2008 |
Daganzo CF, Geroliminis N. An analytical approximation for the macroscopic fundamental diagram of urban traffic Transportation Research Part B: Methodological. 42: 771-781. DOI: 10.1016/J.Trb.2008.06.008 |
0.661 |
|
2008 |
Geroliminis N, Daganzo CF. Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings Transportation Research Part B: Methodological. 42: 759-770. DOI: 10.1016/J.Trb.2008.02.002 |
0.657 |
|
2007 |
Vlahogianni EI, Webber CL, Geroliminis N, Skabardonis A. Statistical characteristics of transitional queue conditions in signalized arterials Transportation Research Part C: Emerging Technologies. 15: 392-403. DOI: 10.1016/j.trc.2007.07.003 |
0.33 |
|
2006 |
Geroliminis N, Skabardonis A. Real time vehicle reidentification and performance measures on signalized arterials Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 188-193. |
0.332 |
|
2005 |
Geroliminis N, Skabardonis A. Prediction of arrival profiles and queue lengths along signalized arterials by using a markov decision process Transportation Research Record. 116-124. |
0.326 |
|
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