Investigation of Heavy-Duty Vocational Vehicle Usage and Suitability of Aerodynamic Improvement Devices

Status

Complete

Project Timeline

June 30, 2017 - April 1, 2019

Principal Investigator

Department(s)

Civil and Environmental Engineering

Project Summary

This study seeks to paint a clear picture of the types of vocational class 4 – 6 vehicles, with 14,001 to 26,000 lbs. gross vehicle weight rating, operating in the state of California, how they are used, and by whom.   Furthermore, it will seek to answer questions about the number of Class 4-6 box type vehicles operating within in the state, how many drive at high and low speeds and daily distances they operate within.  This information will be gathered through a survey and data collection exercise and combined in a way that ARB can better understand the statewide impact, aerodynamic improvement devices could have on heavy-duty vocational vehicle fuel economy.

Academic Advisory Panel: Peer Review and Validation of the Five Big Moves

Status

Complete

Project Timeline

February 19, 2020 - November 30, 2020

Principal Investigator

Project Summary

This project focused on providing SANDAG with the latest research, data, and tools that can be used to support the development of the SANDAG 2021 Regional Transportation Plan (RTP), with a focus on identifying how the advances in technology, coupled with public policy can enable the region to rethink and to maximize the coordination between land use and transportation planning and, in particular, operationalizing off-model methodologies for use in SANDAG’s submission of the Sustainable Communities Strategy (SCS) methodology to the California Air Resources Board (CARB).

CARMEN-Ritchie

Status

In Progress

Project Timeline

January 1, 2021 - August 31, 2022

Principal Investigator

Areas of Expertise

Department(s)

Civil and Environmental Engineering

CARMEN-Kassas

Status

Complete

Project Timeline

January 1, 2021 - August 31, 2022

Principal Investigator

Project Team

Ali Abdallah, Nadim Khairallah

Areas of Expertise

CARMEN-Jayakrishnan

Status

In Progress

Project Timeline

January 1, 2021 - August 31, 2022

Principal Investigator

Areas of Expertise

Department(s)

Transportation Science Interdisciplinary Graduate Degree Program

CARMEN-Chen

Status

In Progress

Project Timeline

January 1, 2021 - August 31, 2023

Principal Investigator

Project Team

Areas of Expertise

Department(s)

Information and Computer Science

Aircraft Navigation via Opportunistic Radio Frequency Simultaneous Localization and Mapping

Status

Complete

Project Timeline

November 15, 2021 - September 30, 2023

Principal Investigator

Project Team

Alex Nguyen

Project Summary

This two-year project will develop novel navigation strategies for aircraft in GNSS-denied environments, exploiting ambient terrestrial signals of opportunity.

Development of New Privacy-preserving Method for Traffic Data Collection and Analysis

Status

In Progress

Project Timeline

August 1, 2021 - September 30, 2023

Principal Investigator

Areas of Expertise

Department(s)

Civil and Environmental Engineering

Project Summary

Traditional methods for data collection, such as the National Household Travel Survey, focus on trips by a small sample of either travelers, locations, or times. With the prevalence of GPS devices and smartphones, big transportation data from more travelers and locations over longer timespans are more readily available and can substantially help to improve the management, planning, and design of transportation systems. However, travelers, private companies, and public agencies are reluctant to share such data due to privacy concerns. This project will develop a new privacy-preserving method for collecting and analyzing traffic data. This method is based on a new framework for transportation system analysis, in which a network is considered a single entity, and trips are tracked in a relative space with respect to the remaining distance to individual travelers’ destinations. Such data are sufficient for characterizing traffic dynamics but without revealing Personally Identifiable Location Information. This method works for either a city road network or freeway corridors, as well as for multimodal trips. The project will systematically calibrate and validate the new method and will discuss the policy implications for data collection and analysis for California’s traffic systems.

Phd Dissertation

Diffusion and Management of Disruptive Technology in Cities: The Case of Drones

Abstract

While the industry of civilian unmanned aerial vehicles (UAV) or drones has seen rapid expansion in the past decade, few studies have systematically examined the dynamics between this disruptive technology and various aspects of cities. Employing quantitative methods, this dissertation explores 1) the diffusion and adoption patterns of civilian drones; 2) how cities manage the challenges of increasing drone activities; and 3) the supply-side opportunities and constraints associated with the deployment of Urban Air Mobility (UAM) in built-out metropolitan areas. The results of the first county level study might suggest (Chapter 2) that the digital divide has magnified the uneven and nonlinear diffusion of drones across time and space. Furthermore, the strength of state-level interventions correlates with the intensity of local drone adoption, even though the regulatory effects are different among drone user groups. People living in neighborhoods with a higher adoption rate of drones are on average younger, more affluent, and Whiter. An extension of the first study at the zip code level (Chapter 3) has retested the key results and provided additional insights into the spatial dependence effects that affect the drone adoption patterns. Furthermore, the results of the second study (Chapter 4) indicate that local drone policy adoption among communities of color trails behind that of other communities. Although drone policy adoption at the local level has been shaped by both motivation and capacity factors, the desire to protect public facilities appears to motivate localities to adopt regulatory measures. In particular, policy adoption is influenced by what nearby cities do, suggesting that strategic interaction is at play among local governments. In the third study (Chapter 5), I evaluate the supply-side opportunities and constraints associated with UAM adoption through a systematic scenario analysis. The results of the third study indicate that current supply-side infrastructure opportunities in Southern California, like helipads and elevated parking structures, are widely available to accommodate the regional deployment of UAM service although current spatial constraints can significantly limit the location choice of UAM landing sites (vertiports) for electric vertical take-off and landing (eVTOL) aircraft. Moreover, the low-income and young populations tend to live relatively farther away from the supply-side opportunities compared to the general population. The third study also proposes a network of UAM stations in Southern California based on the joint considerations of available infrastructure and home-workplace commuting flows.