Mathesia

A recent study shows that a Manhattan commuter willing to increase trip time by about 15% during the evening or morning rush hour might reduce the number of accidents they encounter on their route by up to 18%

The new algorithm will help city planners and others confront the issue of increased traffic congestion from rideshare services and autonomous vehicles.

A new algorithm helps find tradeoffs between commute time and safety 28 Oct A new algorithm helps find tradeoffs between commute time and safety Posted at 15:36h in Data Science, Innovation Stories, Optimization by Francesca Gatti 0 Likes Developed a new computer algorithm that will help city planners and others confront the issue of increased traffic congestion from...

Delays and disruptions in airline operations annually result in billions of dollars of additional costs to airlines, passengers and the economy. Airlines strive to mitigate these costs by creating schedules that are less likely to get disrupted or schedules that are easy to repair when there are disruptions. Researchers have found a solution using a mathematical optimization model.
- The approach can reduce extreme delays by as much as 20–30% on average.
- The buffers in scheduling cost airlines less than 5%.

Vikrant Vaze College University of Coimbra
https://mathesia.com/revamped-crew-scheduling-model-cuts-airline-delays-by-as-much-as-30/

Revamped crew scheduling model cuts airline delays by as much as 30% 14 Oct Revamped crew scheduling model cuts airline delays by as much as 30% Posted at 14:01h in Innovation Stories, Optimization by Francesca Gatti 0 Likes Delays and disruptions in airline operations annually result in billions of dollars of additional costs to airlines, passengers and the economy....

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