In 2019, through project SPARKMAN, C2SMART UTP researchers developed a university student parking lot Zoning and Zone Permit Pricing model and conducted a student survey to understand the need for campus parking, in order to establish a Level of Service (LOS) criteria for parking.
This project will focus on LOS for parking and expand it to a PMS for parking. The LOS analysis methodologies of many types of transportation facilities are prescribed in the Highway Capacity Manual (HCM). Each method consists of an analysis procedure and the LOS criteria. The analysis procedure computes the value of the LOS parameter, while the LOS criteria map the parameter value into LOS A to F.
This project aims to develop LOS analysis procedures that estimate or measure the average search time for selected types of parking facilities. Additionally, alternative evaluation methodologies for parking operations based on the IOT will be explored. The new smart cities approach to measure customer service is dubbed PMS to distinguish it from the LOS analysis procedure. Cities are interested in making better use of smart meter usage data.
The objectives of this project are to:
1. Develop LOS analysis procedures for open surface parking lots
2. Develop an LOS analysis procedure for conventional multistory parking garages
3. Develop a ConOps of a PMS in smart parking garages
4. Explore PMS for street parking using existing smart technology
All the LOS analysis procedures are to estimate or measure the average search time. The analysis procedures will cover data collection and data processing approaches to estimate the average parking search time. The use of a smartphone application and smart parking garage infrastructure for data collection will be explored. The procedure of measuring search time for street parking is challenging because there is no control access point as the stalls are geographically spread along the streets. The solution of measuring the search time by a smartphone application, or alternative performance measures will be explored by analyzing the downtown street parking data provided by the City of El Paso.
Kelvin Cheu is the Principal Investigator on this project.
Assistant Professor, UTEP
Jeffrey Weidner is a Co-Principal Investigator on this project.
Affiliated Researcher, UTEP
Okan Gurbuz is a Researcher on this project