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IEEE & IFAC WIE Activities
Done
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SESSION V-14: Smart System Applications
Done
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SESSION V-25: Identification and Control Systems
Done
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SESSION P-12: Control Theory
Done
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SESSION P-17: Optimization, Control, and Data-Driven Approaches in Engineering Systems
Done
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SESSION P-27: Special Session on "Decision making for sustainable transportation systems"
Done
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SESSION P-31: Special Session on"OptiQ – from (nonlinear) optics to quantum computing, simulation, visualization and image processing: on Earth and in space"
Done
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SESSION P-45: Optimal Control (Part 2)
Done
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SESSION P-44: Special Session on"Artificial Intelligence Trends for Healthcare Optimization: Metaheuristics, Machine Learning and IoT"
Done
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SESSION V-04: Special Session on"Emerging theories, tools and methodologies for cybersecurity and digital forensics"
Done
SESSION P-50: Transport Optimization
7/17/25, 10:20 AM
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7/17/25, 12:00 PM
(Europe/Zagreb)
(1 hour 40 minutes)
SESSION CHAIR(S): Tasseda Boukherroub, Sana Belmokhtar-Berraf
| Paper ID | Title | Authors | |
| 262 | Transport Optimization of an Anaerobic Digestion Co-Product in a Closed-Loop Supply Chain | Mathieu FAURE*, Tasseda Boukherroub, Jean-Francois Audy, Pierre-Olivier Lemire (Canada) | |
| 484 | Dynamic Electric Vehicle Dispatching Problem: A Simulation Modelling Framework | Simon JEZEQUEL*, Tasseda Boukherroub, Sana Belmokhtar-Berraf (Canada) | |
| 302 | A Blockchain Framework for Incentivized Data Sharing in Autonomous Vehicle Networks | Giuseppe Olivieri*,Agostino Marcello Mangini,Maria Pia Fanti (Italy) | |
| 386 | Autonomous Vehicles for On-Demand Transport Service: Field Experimentation | Neila Bhouri*, Hassan Mahdavi (France) | |
| 521 | A Local Search-Based Heuristic for Optimizing AGV Routing in Automated Port Environment | Tess NOUY*, Ghassen CHERIF, Sandra Ulrich NGUEVEU, Mikhail Zakharov (France) | |
| 230 | Drone-Based Delivery in Logistics: Interdisciplinary Challenges | Mariem BELHOR*, Danielle NYAKAM NYA (France) | |
| 137 | Lane-Independent Highway Traffic Management for Random Anomalies Using Reinforcement Learning | Márk Mitrenga, György Csippán, Bálint Kővári*, Tamás Bécsi, Szilárd Aradi (Hungary) |