Sprint 5

|Sprint 5|User story |Working on the optimization for finding inspectors' location |Time|2023/10/02 to 2023/10/09 |Project Owner|Sun Yixin |
|--------------------------------------------------------------------------------------------------------------------------------------------------| |Activity |Time |Response |Priority |Criteria | |---------------------------------------|-------|----------------|---------|-----------------------------------------------------------------------| |Streamlit for result visualization |3 days |Sun Yixin |Middle |Having a deep understanding of Streamlit's features and applications | |--------------------------------------------------------------------------------------------------------------------------------------------------| |Finalized code for clustering for |2 days |Martijn Stok |Low |A working code of clustering with centroids and make a start with cod | |centroids and starting code for medoids| | | |for medoids |
|--------------------------------------------------------------------------------------------------------------------------------------------------| |Building optimisation model for |2 days |Martin van Andel|High |A base mathematical model which can determine the optimal locations of | |inspectors’ location | | | |road inspectors | |--------------------------------------------------------------------------------------------------------------------------------------------------| |Building optimisation model for |1 day |Heisuke Miyoshi|High |Obtaining optimal locations of road inspectors | |inspectors’ location | | | | | |--------------------------------------------------------------------------------------------------------------------------------------------------| |Connect the incident data to the |4 days |Klaas |High |Make sure that the incidents location can be used for path finding | |highway network | | | | | |--------------------------------------------------------------------------------------------------------------------------------------------------| |Tech stack |Python/ Gurobi |Dataset |Csv file with incidents provides the location and the duration of incident |