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A Case Study in Budapest, Hungary Showed Scenarios with Substantial Shared Automated Vehicle Use May Reduce Parking Demand by Up to 83 Percent.

METHODOLOGY In this study, the researchers conducted a survey to gain insights into the aspects needed for scenario building; namely, status quo and change in habits and preferences regarding car…
Content type
Date Posted
02/29/2024

Mathematical Model Revealed that Automated Vehicles Can Achieve 40-50 Percent Gains in Spatial Efficiency for Off-Street Parking Facilities.

METHODOLOGY The study formulated a methodology based on certain premises to optimize parking capacity in single-story, obstruction-free parking lots with square or rectangular layouts. It assumed AVs…
Content type
Date Posted
02/29/2024

Demand-Based Pricing Strategy in Los Angeles Parking Management System Led to a 37 Percent Reduction in Parking Duration for Downtown LA.

METHODOLOGY The LA Express Park program relied heavily on hardware, including parking meters, guidance systems, in-ground sensors, and a highly integrated back-end system that utilized strong data…
Content type
Date Posted
01/26/2024

Implementation of demand-based pricing parking management to San Francisco on-street and off-street parking resulted in a 43 percent decrease in time searching for a parking space and a 30 percent decline in greenhouse gas emissions.

METHODOLOGY This pilot involved demand-based parking pricing to on-street and off-street spaces in the pilot area. Hourly rates were adjusted based on the occupancy rate of the parking area. The…
Content type
Date Posted
01/25/2024

Implementation of Demand-Based Pricing to Washington D.C. Street Parking Resulted in an Increase of 10 Percent of Parking Usage and a Decrease in the Time To Find Parking of Seven Minutes.

METHODOLOGY This pilot involved demand-based parking pricing to on-street spaces in the pilot area. Higher hourly parking rates were applied to high-demand blocks to improve turnover and lower hourly…
Content type
Date Posted
10/26/2023

Understand Time-Intensive Data Requirements for Valid Carpool Verification and Enforcement at Transit Station Parking Lots.

Understand time-intensive data requirements for valid carpool verification and enforcement. In this pilot, the vendor found it challenging and time-intensive to meet the data requirements for…
Content type
Date Posted
09/29/2023

Evaluation of San Francisco Bay Area Rapid Transit’s Carpooling App Revealed that 88 Percent of Scoop Trips Either Reduced or Caused no Change in Vehicle Miles Traveled.

METHODOLOGY This study considered 13 hypotheses (e.g., carpooling to stations increases) for the purpose of evaluating the BART Carpool to Transit Access Program pilot project facilitated through a…
Content type
Date Posted
09/29/2023

Simulation Study Assessing the Impacts of Automated Vehicles on Parking Demand in San Francisco’s City Center Saw a 72 Percent Reduction in CO2 Emissions Compared to a No-Automated Vehicles Scenario.

METHODOLOGY An open-source microscopic traffic simulation software was used to model the study area. The simulation model used the local travel activity data from the San Francisco Bay Area’s…
Content type
Date Posted
08/28/2023

Simulation Study of Fully Automated Vehicles With Self-Parking Capabilities in Texas Estimates a Reduction in Conflict Points by 7 to 45 Percent with Penetration Rates of 25 and 75 Percent, Along With Increase in Parking Capacity.

METHODOLOGY The study examined three parking options (on-street, off-street, and parking garage) by selecting one facility on the UTEP campus for each. Initially, three scenarios were considered for…
Content type
Date Posted
03/31/2023