|
Main Bibliography |
Capdevila, I. and Zarlenga M.I., 2015. Smart City or smart citizens? The Barcelona case. Journal of Strategy and Management8(3), 266-282. Article in Journal of Strategy and Management · August 2015.
Ferrer, Josep-Ramon, "Barcelona’s Smart City vision: an opportunity for transformation ", Field Actions Science Reports [Online], Special Issue 16 | 2017.
Liu, Sheng; Shen, Zuo-Jun Max; Ji, Xiang. Urban Bike Lane Planning with Bike Trajectories: Models, Algorithms, and a Real-World Case Study. Manufacturing & Service Operations Management, 2021.
Magnana, Lucas; Rivano, Hervé; Chiabaut, Nicolas. “A DRL solution to help reduce the cost in waiting time of securing a traffic light for cyclists.” arXiv preprint, 2023.
Wang, Yanan; Xu, Tong; Niu, Xin; Tan, Chang; Chen, Enhong; Xiong, Hui. “STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control.” arXiv preprint, 2019.
|
|
Teaching Methodologies and Assessment Criteria |
1. Attendance/Written test (50%, 10 out of 20).
This will allow us to assess whether students have assimilated the material taught and obtained the defined competencies. The test will have a theoretical and a practical component on the course content and the requirements of e-cities/smart cities through the application of IoT developed in the classroom environment.
2. Practical work with oral presentation in the classroom environment and report (50%, 10 out of 20).
A practical assignment will be carried out, which concerns the analysis of a significant case of an e-city/smart city in Europe, Asia or America based on bibliographic research and scientific literature.
|