"Popular navigation apps like Google Maps and Apple Maps have given little guidance about parking, leaving users to fend for themselves as they decide where to hunt for a spot and how much time to budget for the search. New research from MIT suggests that these services could take some of the guesswork out of parking by giving better advice."
"Doing so wouldn't just lower stress levels; it could also help travelers waste fewer minutes cruising for a spot, thickening traffic and spewing pollution as they circle. Wu says that she grew curious about navigation apps' handling of parking when she noticed that they predict time spent walking to and from transit stops but not to and from parking spaces."
"Wu and her colleagues constructed a model to guide hypothetical drivers toward the lot that best balances proximity to a chosen destination and the likelihood of finding a spot available. If drivers had more useful information, she and her coauthors wondered, could they make better travel decisions? The answer they reached was a resounding 'yes.'"
Navigation apps like Google Maps and Apple Maps predict travel time but fail to account for parking availability and walking time to parking spaces, leaving drivers to search inefficiently. This creates unnecessary stress, wasted time circling for spots, and increased traffic congestion and pollution. MIT researchers developed a model called "Probability-Aware Parking Selection" that guides drivers toward parking lots balancing proximity to destinations with availability likelihood. Using Seattle parking occupancy data, the researchers demonstrated that providing drivers with probability-based parking recommendations enables better travel decisions. The research suggests that integrating such guidance into navigation apps could significantly reduce time spent searching for parking, decrease traffic congestion, and lower emissions from vehicles cruising for available spots.
Read at Fast Company
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