Optimizing Infrastructure Enhancements for Evacuation Planning

Authors: Kunal Kumar, Julia Romanski, Pascal Van Hentenryck

AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental Experimental results demonstrate the practicability of the approach on a real case study, filling a significant need for emergencies services.
Researcher Affiliation Academia 1Ghent University, Belgium. 2Brown University, Providence, RI. 3University of Michigan, Ann Arbor, MI.
Pseudocode No The paper presents mathematical models and equations but does not include structured pseudocode or algorithm blocks labeled as such.
Open Source Code No The paper does not provide any specific links or explicit statements about the availability of open-source code for the methodology described.
Open Datasets No The paper describes a case study in the Hawkesbury-Nepean floodplain and details its characteristics, but it does not provide concrete access information (link, DOI, citation with author/year) for a publicly available or open dataset.
Dataset Splits No The paper describes using a case study with varied population scaling and flood scenarios, but it does not specify exact percentages, sample counts, or refer to predefined splits for training, validation, or testing datasets.
Hardware Specification Yes The algorithms were implemented using JAVA 8 with GUROBI 6.0 and run on a 64 bit machine with a 1.4 GHz Intel Core i5 processor and 4 GB of RAM under OSX 10.10.5.
Software Dependencies Yes The algorithms were implemented using JAVA 8 with GUROBI 6.0 and run on a 64 bit machine with a 1.4 GHz Intel Core i5 processor and 4 GB of RAM under OSX 10.10.5.
Experiment Setup Yes The time horizon was discretized into 5 minute intervals. The upgrade costs were taken to be 5 units per kilometer of additional lanes built and 0.01 units per kilometer for elevating a road to extend its availability by one time step. Unless otherwise stated, the budget is 100 units. The population was scaled by a factor x [1.7, 3] to model population growth in the Hawkesbury-Nepean region. Each instance was run for up to one hour.