#trafficmodeling — Public Fediverse posts

@capntransit @jerryschippa I was just going to bring that discussion over here.

There's been some research looking at traffic impact studies and trying to make them better. But researchers also warn they might not hold up in court much longer, given their shaky foundation. https://ssti.us/2023/04/03/researchers-warn-traffic-studies-could-face-more-legal-scrutiny/

#TrafficEngineering #TrafficModeling #TrafficForecasting #RoadDesign

FHWA just published preliminary VMT numbers for 2022. Americans drove slightly more than the previous year, but still less than before the pandemic. Interestingly, traffic delay was still around 50% lower than pre-pandemic, according to INRIX. https://ssti.us/2023/03/06/americans-are-still-driving-less-than-before-the-pandemic/

#TravelDemand #Driving #VMT #UrbanPlanning #TrafficModeling #TrafficEngineering #TrafficForecasting

@LaurentFranckx Thanks for sharing! This is a great study showing that self-driving cars could increase travel by 21 to 26% and fuel use by 5 to 10%, in spite of better fuel efficiency.

https://journals.open.tudelft.nl/ejtir/article/view/5842/5499 #AutonomousVehicles #ReboundEffect #ClimatePolicy #TrafficModeling

Here are the potential impacts of autonomous vehicles in #California, from a new UCLA policy brief:
- #VMT will increase 9%.
- #GHG emissions will increase 10%.
- Even with better operations, induced demand will lead to more congestion.

https://escholarship.org/content/qt5nk4n1rc/qt5nk4n1rc.pdf #Climate #ClimatePolicy #AutonomousVehicles #InducedDemand #TrafficModeling #Traffic