An updated list of my publications can be found on my Google Scholar page.
Journal articles
Zhou, Q., Zhang, Y., Makridis, M.A., Kouvelas, A., Wang, Y., Hu, S., 2025. MoGERNN: An inductive traffic predictor for unobserved locations. Transportation Research Part C: Emerging Technologies 174, 105080. https://doi.org/10.1016/j.trc.2025.105080
El-Baklish, S.K., Kouvelas, A., Makridis, M.A., 2025. Driving towards stability and efficiency: A variable time gap strategy for Adaptive Cruise Control. Transportation Research Part C: Emerging Technologies 174, 105074. https://doi.org/10.1016/j.trc.2025.105074
Suarez, J., Ktistakis, M.A., Komnos, D., Tansini, A., Marin, A.L., Makridis, M., Ciuffo, B., Fontaras, G., 2025. The impact of drivers’ acceleration style on the vehicle energy performance: a real-world case study. Transportation Research Procedia, World Conference on Transport Research - WCTR 2023 Montreal 17-21 July 2023 82, 3300–3319. https://doi.org/10.1016/j.trpro.2024.12.093
Riehl, K., Kouvelas, A., Makridis, M.A., 2024. Karma economies for sustainable urban mobility – a fair approach to public good value pricing. npj. Sustain. Mobil. Transp. 1, 1–17. https://doi.org/10.1038/s44333-024-00014-4
Brunner, J.S., Ni, Y.-C., Kouvelas, A., Makridis, M.A., 2024. Microscopic simulation of bicycle traffic flow incorporating cyclists’ heterogeneous dynamics and non-lane-based movement strategies. Simulation Modelling Practice and Theory 135, 102986. https://doi.org/10.1016/j.simpat.2024.102986
Zhang, Y., Kouvelas, A., Makridis, M.A., 2024. A time-varying shockwave speed model for reconstructing trajectories on freeways using Lagrangian and Eulerian observations. Expert Systems with Applications 253, 124298. https://doi.org/10.1016/j.eswa.2024.124298
Riehl, K., Kouvelas, A., Makridis, M.A., 2024. Resource Allocation with Karma Mechanisms—A Review. Economies 12, 211. https://doi.org/10.3390/economies12080211
Ni, Y.-C., Makridis, M.A., Kouvelas, A., 2024. Bicycle as a traffic mode: From microscopic cycling behavior to macroscopic bicycle flow. Journal of Cycling and Micromobility Research 2, 100022. https://doi.org/10.1016/j.jcmr.2024.100022
Makridis, M.A., Mattas, K., Ciuffo, B., Kouvelas, A., 2024. Impacts of Partially Connected and Automated Vehicles on Traffic Flow and Energy Based on Worldwide Experimental Observations in Motorway Driving, in: Thomopoulos, N., Attard, M., Shiftan, Y. (Eds.), Sustainable Automated and Connected Transport, Transport and Sustainability. Emerald Publishing Limited, pp. 23–45. https://doi.org/10.1108/S2044-994120240000019002
He, Y., Mattas, K., Makridis, M.A., Komnos, D., Marín, A.L., Fontaras, G., Ciuffo, B., 2024. Introducing Hybrid Vehicle Dynamics in Microscopic Traffic Simulation. IEEE Transactions on Intelligent Transportation Systems 1–10. https://doi.org/10.1109/TITS.2024.3378183
Genser, A., Makridis, M.A., Yang, K., Ambühl, L., Menendez, M., Kouvelas, A., 2024. Time-to-Green Predictions for Fully-Actuated Signal Control Systems With Supervised Learning. IEEE Transactions on Intelligent Transportation Systems 1–14. https://doi.org/10.1109/TITS.2023.3348634
Axenie, C., López-Corona, O., Makridis, M.A., Akbarzadeh, M., Saveriano, M., Stancu, A., West, J., 2024. Antifragility in complex dynamical systems. npj Complex 1, 1–8. https://doi.org/10.1038/s44260-024-00014-y
Makridis, M.A., Kouvelas, A., 2023. An adaptive framework for real-time freeway traffic estimation in the presence of CAVs. Transportation Research Part C: Emerging Technologies 149, 104066.
Makridis, M.A., Kouvelas, A., 2023. Adaptive physics-informed trajectory reconstruction exploiting driver behavior and car dynamics. Sci Rep 13, 1121.
Zheng, S.-T., Makridis, M.A., Kouvelas, A., Jiang, R., Jia, B., 2023. A multi-objective calibration framework for capturing the behavioral patterns of autonomously-driven vehicles. Transportation Research Part C: Emerging Technologies 152, 104151.
Apostolakis, T., Makridis, M.A., Kouvelas, A., Ampountolas, K., 2023. Energy-Based Assessment and Driving Behavior of ACC Systems and Humans Inside Platoons. IEEE Transactions on Intelligent Transportation Systems 1–10.
Makridis, M.A., Schaniel, J., Kouvelas, A., 2023. Rule-Based On-Off Traffic Control Strategy for CAVs on Motorway Networks: Assessing Cooperation Level and Driving Homogeneity. IEEE Access 11, 35111–35121.
Genser, A., Makridis, M.A., Yang, K., Abmühl, L., Menendez, M., Kouvelas, A., 2023. A traffic signal and loop detector dataset of an urban intersection regulated by a fully actuated signal control system. Data in Brief 48, 109117.
Ciuffo, B., Makridis, M., et al., 2023. Robotic Competitions to Design Future Transport Systems: The Case of JRC AUTOTRAC 2020. Transportation Research Record 2677, 1165–1178.
Makridis, M.A., Anesiadou, A., Mattas, K., Fontaras, G., Ciuffo, B., 2022. Characterising driver heterogeneity within stochastic traffic simulation. Transportmetrica B: Transport Dynamics 0, 1–19.
Du, Y., Kouvelas, A., ShangGuan, W., Makridis, M.A., 2022. Dynamic capacity estimation of mixed traffic flows with application in adaptive traffic signal control. Physica A: Statistical Mechanics and its Applications 606, 128065.
Suarez, J., Makridis, M., Anesiadou, A., Komnos, D., Ciuffo, B., Fontaras, G., 2022. Benchmarking the driver acceleration impact on vehicle energy consumption and CO2 emissions. Transportation Research Part D: Transport and Environment 107, 103282.
Brunner, J.S., Makridis, M.A., Kouvelas, A., 2022. Comparing the Observable Response Times of ACC and CACC Systems. IEEE Transactions on Intelligent Transportation Systems 1–10.
Ciuffo, B., Makridis, M., et al., 2022. Robotic Competitions to Design Future Transport Systems: The Case of JRC AUTOTRAC 2020. Transportation Research Record 03611981221110566.
Genser, A., Hautle, N., Makridis, M., Kouvelas, A., 2022. An Experimental Urban Case Study with Various Data Sources and a Model for Traffic Estimation. Sensors 22, 144.
Belov, A., Mattas, K., Makridis, M., Menendez, M., Ciuffo, B., 2021. A microsimulation based analysis of the price of anarchy in traffic routing: The enhanced Braess network case. Journal of Intelligent Transportation Systems 1–16.
Ciuffo, B., Mattas, K., Makridis, M., Albano, G., Anesiadou, A., He, Y., Josvai, S., Komnos, D., Pataki, M., Vass, S., Szalay, Z., 2021. Requiem on the positive effects of commercial adaptive cruise control on motorway traffic and recommendations for future automated driving systems. Transportation Research Part C: Emerging Technologies 130, 103305.
Makridis, M., Mattas, M., Anesiadou A., Ciuffo, B., OpenACC. An open database of car-following experiments to study the properties of commercial ACC systems, Transporation Research Part C, 2021.
Makridis, M., Leclercq, L., Ciuffo, B., Fontaras, G., Mattas, M. Formalizing the heterogeneity of the vehicle-driver system to reproduce traffic oscillations, Transporation Research Part C, 2020.
Mattas, K., Makridis, M., Botzoris, G., Kriston, A., Minarini, F., Papadopoulos, B., Re, F., Rognelund, G., Ciuffo, B., 2020. Fuzzy Surrogate Safety Metrics for real-time assessment of rear-end collision risk. A study based on empirical observations. Accident Analysis & Prevention 148, 105794.
Mogno, C., Arcidiacono, V., Ciuffo, B., Maineri, L., Makridis, M., Pavlovic, J., Tsiakmakis, S., Fontaras, G., 2020. Tools for Customized Consumer Information on Vehicle Energy Consumption and Costs - A European Case Study. Transportation Research Procedia, Recent Advances and Emerging Issues in Transport Research – An Editorial Note for the Selected Proceedings of WCTR 2019 Mumbai 48, 1493–1504.
He, Y., Makridis, M., Mattas, K., Fontaras, G., Ciuffo, B., Xu, H., 2020. Introducing Electrified Vehicle Dynamics in Traffic Simulation. Transportation Research Record 036119812093184.
He, Y., Makridis, M., Fontaras, G., Mattas, K., Xu, H., Ciuffo, B., 2020. The energy impact of adaptive cruise control in real-world highway multiple-car-following scenarios. European Transport Research Review 12, 17.
Makridis, M., Mattas, K., Ciuffo, B., Re, F., Kriston, A., Minarini, F., Rognelund, G., 2020. Empirical Study on the Properties of Adaptive Cruise Control Systems and Their Impact on Traffic Flow and String Stability. Transportation Research Record 0361198120911047.
Makridis, M., Leclercq, L., Mattas, K., Ciuffo, B., 2020. The impact of driving homogeneity due to automation and cooperation of vehicles on uphill freeway sections. European Transport Research Review 12, 15.
Makridis, M., Mattas, K., Mogno, C., Ciuffo, B., Fontaras, G., 2020. The impact of automation and connectivity on traffic flow and CO2 emissions. A detailed microsimulation study. Atmospheric Environment 226, 117399.
Y. He, Q. Zhou, M. Makridis, K. Mattas, J. Li, H. Williams and H. Xu, “Multi-objective Co-optimization of Cooperative Adaptive Cruise Control and Energy Management Strategy for PHEVs,” IEEE Transactions on Transportation Electrification, pp. 1–1, 2020, doi: 10.1109/TTE.2020.2974588.
He, Y., Wang, C., Zhou, Q., Li, J., Makridis, M., Williams, H., Lu, G., Xu, H., 2020. Multiobjective component sizing of a hybrid ethanol-electric vehicle propulsion system. Applied Energy 266, 114843.
Mogno, C., Fontaras, G., Arcidiacono, V., Komnos, D., Pavlovic, J., Ciuffo, B., Makridis, M., Valverde, V., 2020. The application of the CO2MPAS model for vehicle CO2 emissions estimation over real traffic conditions. Transport Policy, 2020.
M. Makridis, K. Mattas and B. Ciuffo, “Estimating the Response Time of an Adaptive Cruise Control on Car-Following. An Empirical Approach”, IEEE Transactions on Intelligent Transportation Systems, 2019.
M. Makridis, G. Fontaras, B. Ciuffo, K. Mattas, “MFC Free-Flow Model: Introducing Vehicle Dynamics in Microsimulation,” Transportation Research Record, 2019.
C. Fiori, V. Arcidiacono, G. Fontaras, M. Makridis, K. Mattas, V. Marzano, C. Thiel and B. Ciuffo, “The effect of electrified mobility on the relationship between traffic conditions and energy consumption,” Transportation Research Part D, vol. 67pp. 275–290, 2019.
K. Mattas, M. Makridis, P. Hallac, MA, Raposo, C. Thiel, T. Toledo and B. Ciuffo, “Simulating deployment of connectivity and automation on the Antwerp ring road”, IET-ITS, vol. 12 (9), pp. 1036-1044, 2018.
B. Ciuffo, M. Makridis, T. Toledo, and G. Fontaras, “Capability of Current Car-Following Models to Reproduce Vehicle Free-Flow Acceleration Dynamics,” IEEE Transactions on Intelligent Transportation Systems, pp. 1–10, 2018.
Michael Makridis, Petros Daras: Automatic classification of archaeological pottery sherds. JOCCH 5(4): 15 (2012).
M. Makridis and N. Papamarkos, “An adaptive technique for global and local skew correction in color documents, Expert Systems With Applications, 37(10), pp. 6832-6843, 2010.
Nikos Nikolaou, Michael Makridis, Basilis Gatos, Nikolaos Stamatopoulos and Nikos Papamarkos, “Segmentation of Historical Machine-Printed Documents Using Adaptive Run Length Smoothing and Skeleton Segmentation Paths”, Image and Vision Computing, 28 (4), pp. 590-604, 2010.
Michael Makridis, Nikos Papamarkos, “A new technique for solving puzzles” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 40 (3), art. no. 5299177, pp. 789-797, 2010.
Michael Makridis, Nikos Papamarkos, “An adaptive layer-based local binarization technique for degraded documents”, International Journal of Pattern Recognition and Artificial Intelligence, 24 (1), pp.245-279, 2010.
Conferences
M. Makridis, K. Mattas, D. Borio, B. Ciuffo, “Estimating empirically the response time of commercially available ACC controllers under urban and freeway conditions”, 6th International Conference on Models and Technologies for Intelligent Transportation Systems, 2019
K. Mattas, M. Makridis, G.Botzoris, B. Ciuffo, B. Papadopoulos, “Fuzzy surrogate safety metrics”, 6th International Conference on Models and Technologies for Intelligent Transportation Systems, 2019
Y. He, B. Ciuffo, Q. Zhou, M. Makridis, K. Mattas, J. Li, Z. Li, F. Yan, H. Xu, “Adaptive Cruise Control Strategies Implemented on Experimental Vehicles: A Review”, 9th IFAC Symposium on Advances in Automotive Control AAC 2019 52, 21–27.
M Makridis, K Mattas, D Borio, R Giuliani, B Ciuffo, “Estimating reaction time in Adaptive Cruise Control System”, 2018 IEEE Intelligent Vehicles Symposium (IV), 1312-1317.
M Makridis, K Mattas, B Ciuffo, M Alonso Raposo, T Toledo, C Thiel, “Connected and Automated Vehicles on a freeway scenario. Effect on traffic congestion and network capacity”, 7th Transport Research Arena TRA 2018
Alonso Raposo, M., Ciuffo, B., Makridis, M. and Thiel, C., 2017. The r-evolution of driving: from Connected Vehicles to Coordinated Automated Road Transport (C-ART). Eur Comm.
Makridis M., Mattas K., Ciuffo B., Raposo M.A., Thiel C. (2018) Assessing the Impact of Connected and Automated Vehicles. A Freeway Scenario. In: Zachäus C., Müller B., Meyer G. (eds) Advanced Microsystems for Automotive Applications 2017. Lecture Notes in Mobility. Springer, Cham
Raposo, M. A., Ciuffo, B., Makridis, M., & Thiel, C. (2017). From connected vehicles to a connected, coordinated and automated road transport (C2ART) system. 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). doi:10.1109/mtits.2017.8005649
Makridis, M., Ciuffo, B., Fontaras, G., & Toledo, T. (2017). Free flow acceleration: Humans and car-following models. 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). doi:10.1109/mtits.2017.8005677
Makridis, M., Fidalgo-Merino, R., Cotelo-Lema, J., Tsois, A., & Checchi, E. (2016). A Quality Assessment Framework for Large Datasets of Container-Trips Information. Computer Information Systems and Industrial Management Lecture Notes in Computer Science, 729-740. doi:10.1007/978-3-319-45378-1_63
A. Tsois, J. A. Cotelo Lema, M. Makridis and E. Checchi, “Using Container Status Messages to improve targeting of high-risk cargo containers”, WCO 2015 Technology & Innovation Forum Research Track, to be published.
P. Chahuara, L. Mazzola, M. Makridis, C. Schifanella, A. Tsois and M. Pedone "Inferring itineraries of containerized cargo through the application of Conditional Random Fields", to be published, EISIC 2014.
M. Makridis, N. Mitrakis, N. Nikolaou and N. Papamarkos, “Text extraction using component analysis and neuro-fuzzy classification on complex backgrounds”, Scandinavian Conference on Image Analysis 2011, 23-27 May, Ystad, Sweden.
Michael Makridis, Nikos Nikolaou, and Nikos Papamarkos, “A New Technique For Global And Local Skew Correction In Binary Documents”, Acivs 2007.
M. Makridis, N. Nikolaou and B. Gatos, "An Efficient Word Segmentation Technique for Historical and Degraded Machine-Printed Documents", 9th International Conference on Document Analysis and Recognition (ICDAR'07), pp. 178-182, Curitiba, Brazil, September 2007.
M. Makridis and N. Papamarkos, “A new technique for solving a jigsaw puzzle” ICIP2006, Atlanta, USA.
M. Makridis, N. Papamarkos and C. Chamzas, “An Innovative Algorithm for Solving Jigsaw Puzzles Using Geometrical and Color Features” 10th Iberoamerican Congress on Pattern Recognition, X CIARP, Havana, Cuba, November 15-18, 2005.