Data on the case study of SR-522 corridor in Seattle, WA
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset includes the data for a section of the SR-522 corridor in Seattle, WA. Google Earth satellite and Google map of 10 intersection network in SR-522, Seattle, WA, Input Data for Intersections 1-10, Cell Transmission Model Representation of Case Study, average delays, speed, stop, and delayed stop for different penetration rates for demand profile 1,2,3, the performance of distributed coordinated approach, turning volume at the intersections are provided' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Cloud","Fog","Signal Timing Optimization","Transportation Network"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The dataset includes the data for a section of the SR-522 corridor in Seattle, WA. Google Earth satellite and Google map of 10 intersection network in SR-522, Seattle, WA, Input Data for Intersections 1-10, Cell Transmission Model Representation of Case Study, average delays, speed, stop, and delayed stop for different penetration rates for demand profile 1,2,3, the performance of distributed coordinated approach, turning volume at the intersections are provided' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The dataset includes the data for a section of the SR-522 corridor in Seattle, WA. Google Earth satellite and Google map of 10 intersection network in SR-522, Seattle, WA, Input Data for Intersections 1-10, Cell Transmission Model Representation of Case Study, average delays, speed, stop, and delayed stop for different penetration rates for demand profile 1,2,3, the performance of distributed coordinated approach, turning volume at the intersections are provided
Cloud; Fog; Signal Timing Optimization; Transportation Network