ALL
JOURNAL:
M. Čičić, C. Vivas, C. Canudas-de-Wit, F.R. Rubio, “Active Network Management via Grid-friendly Electromobility Control for Curtailment Minimization,” Control Engineering Practice, 2025. (online)
M. Čičić, C. Pasquale, S. Siri, S. Sacone, K.H. Johansson, “Platoon-actuated variable area mainstream traffic control for bottleneck decongestion,” European Journal of Control, 2022. (HAL) (also at European Control Conference (ECC), London, UK, 2022)
M. Čičić, K.H. Johansson, “Front-tracking transition system model for traffic state reconstruction, model learning, and control with application to stop-and-go wave dissipation,” Transportation Research Part B: Methodological, 2022. (online)
M. Čičić, X. Xiong, L. Jin, K.H. Johansson, “Coordinating Vehicle Platoons for Highway Bottleneck Decongestion and Throughput Improvement,” IEEE Transactions on Intelligent Transportation Systems, 2021. (online)
L. Jin, M. Čičić, K. H. Johansson, and S. Amin, “Analysis and design of vehicle platooning operations on mixed-traffic highways,” IEEE Transactions on Automatic Control, 2020. (arXiv)
CONFERENCE:
R. Wang, M. Čičić, S.J. Moura, M.L. Delle Monache, “Macroscopic Modeling and Hierarchical Control of Battery Swapping Stations,” in IEEE 64rd Conference on Decision and Control (CDC), Rio de Janeiro, Brazil, 2025. (online)
M. Čičić, M.L. Delle Monache, “Evaluation of Mixed Traffic Modeling: Comparing Microscopic and Macroscopic Components,” in European Control Conference (ECC), Thessaloniki, Greece, 2025.
M. Čičić, İ.G. Erdaği, M.L. Delle Monache, A. Stevanović, “Macroscopic Traffic State Reconstruction Using LiDAR-based Lagrangian Sensing,” Transportation Research Board Annual Meeting, Washington, D.C., USA, 2025. Extended version in preparation.
M. Čičić, E. Siri, M.L. Delle Monache, “Generic Multi-class Cell Transmission Model for Traffic Control,” in IEEE 63nd Conference on Decision and Control (CDC), Milan, Italy, 2024. (online)
M. Čičić, M.L. Delle Monache, “Macroscopic Modelling and Control of Heavy-Duty Electric Road Systems,” in 27th IEEE International Conference on Intelligent Transportation Systems, Edmonton, Canada, 2024.
L.L. Anton, M. Čičić, R. Kristjánsson, “Traffic-Based Demand Modeling for EV Fast-Charging Stations: A Case Study in Iceland,” in 27th IEEE International Conference on Intelligent Transportation Systems, Edmonton, Canada, 2024.
M. Čičić, C. Canudas-de-Wit, “Implementing EV Virtual Power Lines via Charging Station Control,” in European Control Conference (ECC), Stockholm, Sweden, 2024. (online)
M. Čičić, G. Gasnier, C. Canudas-de-Wit, “Electric Vehicle Charging Station Pricing Control under Balancing Reserve Capacity Commitments,” in IEEE 62nd Conference on Decision and Control (CDC), Marina Bay Sands, Singapore, 2023. (HAL)
M. Čičić, C. Vivas, C. Canudas-de-Wit, F. R. Rubio, “Optimal Renewable Energy Curtailment Minimization Control Using a Combined Electromobility and Grid Model,” IFAC World Congress, Yokohama, Japan, 2023. (HAL)
M. Čičić, C. Canudas-de-Wit, “Coupled Macroscopic Modelling of Electric Vehicle Traffic and Energy Flows for Electromobility Control,” in IEEE 61st Conference on Decision and Control (CDC), Cancún, Mexico, 2022. (HAL)
J. Krook, M. Čičić, K.H. Johansson, “Learning Micro-Macro Models for Traffic Control Using Microscopic Data,” in European Control Conference (ECC), London, UK, 2022. (HAL)
J. Liu, M. Barreau, M. Čičić, and K. H. Johansson, “Learning-based traffic state reconstruction using probe vehicles,” in 16th IFAC Symposium on Control in Transportation Systems, Lille, France, 2021. (arXiv)
M. Čičić, M. Barreau, and K. H. Johansson, “Numerical investigation of traffic state reconstruction and control using connected automated vehicles,” in 23rd IEEE Intelligent Transportation Systems Conference (ITSC), Rhodes, Greece, 2020, pp. 1–6 (arXiv)
M. Čičić, I. Mikolášek, K.H. Johansson, “Front tracking transition system model with controlled moving bottlenecks and probabilistic traffic breakdowns,” IFAC-PapersOnLine vol. 53, no. 2, pp. 14990-14996, 2020. (online)
A. Ibrahim, M. Čičić, D. Goswami, T. Basten, K.H. Johansson, “Control of Platooned Vehicles in Presence of Traffic Shock Waves,” in 22nd IEEE International Conference on Intelligent Transportation Systems (ITSC), Auckland, New Zealand, 2019.
M. Čičić, K.H. Johansson, “Stop-and-go wave dissipation using accumulated controlled moving bottlenecks in multi-class CTM framework,” in IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019, pp. 3146–3151. (online)
G. Piacentini, M. Čičić, A. Ferrara, K.H. Johansson, “VACS equipped vehicles for congestion dissipation in multi-class CTM framework,” in European Control Conference (ECC), Naples, Italy, 2019.
M. Čičić, K. H. Johansson, “Energy-optimal platoon catch-up in traffic in moving bottleneck framework,” in European Control Conference (ECC), Naples, Italy, 2019. (online)
M. Čičić, K.H. Johansson, “Traffic regulation via individually controlled automated vehicles: a cell transmission model approach,” in 21st IEEE International Conference on Intelligent Transportation Systems (ITSC), Maui, US, 2018. (online)
L. Jin, M. Čičić, S. Amin, K.H. Johansson, “Modeling the Impact of Vehicle Platooning on Highway Congestion: A Fluid Queuing Approach,” Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week). ACM, 2018. (DiVA)
M. Čičić, K.-Y. Liang, K. H. Johansson, “Platoon merging distance prediction using a neural network vehicle speed model,” IFAC-PapersOnLine, vol. 50, no. 1, pp. 3720–3725, 2017. (online)
M. Čičić, J. Gutiérrez Teran, Z. Stamenković, “Hardware Implementation of a RSS Localization Algorithm for Wireless Capsule Endoscopy,” IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS), 2015.
PREPRINT:
X. Tao, M. Čičić, J. Mårtensson, “Traffic-Aware Maintenance Planning for Highly Automated Trucks: Mitigating Unexpected Breakdowns and Traffic Congestion,” Reliability Engineering & System Safety, 2025, Submitted.
M. Čičić, C. Canudas-de-Wit, “Macroscopic Coupled Traffic and Energy Model in Front-tracking and Cell-based Frameworks,” in preparation.