Displaying 1 - 10 of 489

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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

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

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…
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Date Posted
01/25/2024

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

A Truck Reservation System Using RFID Tags and Real-Time Information from a Cloud-Based System Was Expected to Reduce Truck Trip Time by 66 Percent and Save Trucking Companies $2.72 Million in Fuel Costs at the Port of Virginia.

METHODOLOGY The study examined the existing truck processing times during the five stages of a typical trip, starting from the time spent at inbound portal and waiting in queue at the gate to time…
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Date Posted
09/29/2023

Simulation-Based Drayage Operation Study in South California Showed that Eco-Approach and Departure (EAD) Connected Vehicle Application Can Provide Up To 8 Percent Energy Savings for Battery-Electric Trucks in Light Traffic.

METHODOLOGY Data collection from each truck spanned one to two months and yielded over 130,000 miles and more than 15,000 hours of truck operations. To simulate the truck performance, the study…
Content type
Date Posted
09/29/2023

System Dynamics Model Sensitivity Analysis in a Generic Rural Area Revealed Up to a 67 Percent Reduction in Traveler Wait Time with Automated Services Compared to Human-Driven Vehicles.

METHODOLOGY The sensitivity analysis assumed little transit and no TNC services in rural areas. The analysis considered three scenarios including human driven vehicles (HDV), automated vehicles (AV…
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Date Posted
07/27/2023

Microsimulation Study Estimated up to 31 Percent Reduction in Average Delays and 40 Percent Increase in Traffic Capacity as Automated Vehicle Penetration Rates Increase.

METHODOLOGY The researchers recorded traffic flows using video cameras for two hours from 7 AM to 9 AM at each intersection of the network as well as traffic volume, queue lengths, traffic signal…
Content type
Date Posted
04/28/2023