conference paper

Real-time Truck Characterization System: A Pilot Implementation of the Freight Mobility Living Laboratory (FML2)

102nd Transportation Research Board Annual Meeting 2023

Publication Date

January 1, 2023
Suggested Citation
Yiqiao Li, Andre Tok, Guoliang Feng and Stephen G. Ritchie (2023) “Real-time Truck Characterization System: A Pilot Implementation of the Freight Mobility Living Laboratory (FML2)”. 102nd Transportation Research Board Annual Meeting 2023.

Preprint Journal Article

Dynamic distance-based pricing scheme for high-occupancy-toll lanes along a freeway corridor

Abstract

Single-occupancy vehicles (SOVs) are charged to use the highoccupancy-toll (HOT) lanes, while high-occupancy-vehicles (HOVs) can drive in them at no cost. The pricing scheme for HOT lanes has been extensively studied at local bottlenecks or at the network level through computationally expensive simulations. However, the HOT lane pricing study on a freeway corridor with multiple origins and destinations as well as multiple interacting bottlenecks is a challenging problem for which no analytical results are available. In this paper, we attempt to fill the gap by proposing to study the traffic dynamics in the corridor based on the relative space paradigm. In this new paradigm, the interaction of multiple bottlenecks and trips can be captured with Vickrey’s bathtub model by a simple ordinary differential equation. We consider three types of lane choice behavior and analyze their properties. Then, we propose a distance-based dynamic pricing scheme based on a linear combination of I-controllers. This closed-loop controller is independent of the model and feeds back the travel time difference between HOT lanes and general-purpose lanes. Given the mathematical tractability of the system model, we analytically study the performance of the proposed closed-loop control under constant demand and show the existence and stability of the optimal equilibrium. Finally, we verify the results with numerical simulations considering a typical peak period demand pattern. In the future, we are interested in extending this work and testing the performance of the proposed linear combination of I-controllers for other traffic flow models.

Suggested Citation
Irene Martínez and Wen-Long Jin (2023) “Dynamic distance-based pricing scheme for high-occupancy-toll lanes along a freeway corridor”. arXiv. Available at: 10.48550/arXiv.2309.01990.

conference paper

Assessing Public Opinions of and Interest in Bidirectional EV Charging Technologies: A U.S. Perspective

Transportation Research Board 103rd Annual Meeting

Publication Date

January 1, 2024

Author(s)

Matthew Dean, Kara Kockelman
Suggested Citation
Matthew D. Dean and Kara Kockelman (2024) “Assessing Public Opinions of and Interest in Bidirectional EV Charging Technologies: A U.S. Perspective”. Transportation Research Board 103rd Annual Meeting.

conference paper

Adaptive signal control system with online performance measure for a single intersection

ADVANCED TRAFFIC MANAGEMENT SYSTEMS FOR FREEWAYS AND TRAFFIC SIGNAL SYSTEMS 2002: HIGHWAY OPERATIONS, CAPACITY, AND TRAFFIC CONTROL

Publication Date

January 1, 2002

Author(s)

HX Liu, JS Oh, Will Recker

Abstract

An adaptive signal control system with an online signal performance measure is introduced. Unlike conventional signal control systems, the proposed method uses real-time delay estimation and an online signal timing update algorithm. As a signal performance measure, intersection delay for each phase is measured in real-time via an advanced surveillance system that reidentifies individual vehicles at upstream and downstream stations by using vehicle waveforms obtained from advanced inductive loop detectors. In each cycle, the signal timing plan is optimized based on the delay estimated from the vehicle reidentification technology. The main thrust of the algorithm is the online control capability utilizing direct intersection delay measures. A description of the overall control system architecture and the optimization algorithm is addressed. Performance of the proposed system is evaluated with a high-performance microscopic traffic simulation program, Paramics, and the preliminary results prove the promising properties of the proposed system.

Suggested Citation
HX Liu, JS Oh and W Recker (2002) “Adaptive signal control system with online performance measure for a single intersection”, in ADVANCED TRAFFIC MANAGEMENT SYSTEMS FOR FREEWAYS AND TRAFFIC SIGNAL SYSTEMS 2002: HIGHWAY OPERATIONS, CAPACITY, AND TRAFFIC CONTROL. TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL (Transportation research record), pp. 131–138. Available at: 10.3141/1811-16.

Phd Dissertation

Analysis of Complex Travel Behavior: A Tour-based Approach

Publication Date

January 1, 2019

Author(s)

Abstract

Complex travel behavior places travel in a broader context than in the conventional trip-based approach. The activity-based approach provides an analysis framework that positions travel decisions as dependent on a collection of activities that form an agenda for participation and, therefore, cannot be properly analyzed on individual trip basis. The basic units of analysis for activity-based approaches are tours, which can be defined as sequences of trips and activities that begin and end at the same location. In this dissertation, I apply a tour-based approach to analyze complex travel behavior from three perspectives: sustainability, technology, and economics.First, I examine the complex travel behavior of workers, who utilize a sustainable transport option, namely public transit. I identify dominant patterns of work tours and analyze factors affecting tour choice using Structural Equation Modeling (SEM). The results obtained by using the 2017 National Household Travel Survey dataset suggest that 80 percent of work tours consist of seven dominant tours and that tour choice is influenced by a set of socio-demographic, built environment, and activity-travel characteristics. Second, the complex travel behavior of people who use technology-enabled ride-hailing services, such as Uber/Lyft, is explored. In particular, I identify heterogeneous groups of ride-hailing users by using Latent Class Analysis, analyze the activity-travel patterns of each of these groups, and discuss the ramifications of that behavior to policy directives.Lastly, I explore the travel behavior of workers, again in terms of tours, when they are exposed to an economic downturn, the 2007-2009 recession. I apply multi-group SEM to analyze changes in tour choice during the recession (2009) compared to pre- (2006) and post-recession (2012) years. Using American Time Use Survey data, this study shows that activity-travel relationships and their role in tour choices differed significantly in the recession year. The results of this study provide insights into potential changes in worker’s travel demand during a recession, which would contribute to building better pattern choice sets in tour-based models.The common thread throughout this dissertation is the development of a framework for analyzing complex travel behavior under disruptive changes due to environment, technology, and economics forces.

Suggested Citation
Rezwana Rafiq (2019) Analysis of Complex Travel Behavior: A Tour-based Approach. Ph.D.. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/1gpb62p/alma991035165805104701 (Accessed: October 12, 2023).

working paper

The Activity-Based Approach

Publication Date

October 18, 2007

Working Paper

UCI-ITS-WP-07-1

Abstract

What is the activity-based approach (ABA) and how does it differ from the conventional trip-based model of travel behavior? From where has the activity approach evolved, what is its current status, and what are its potential applications in transportation forecasting and policy analysis. What have been the contributions of activity-based approaches to understanding travel behavior?The conventional trip-based model of travel demand forecasting (see Chapters 2 and 3) has always lacked a valid representation of underlying travel behavior. This model, commonly referred to as the four-step model (FSM), was developed to evaluate the impact of capital-intensive infrastructure investment projects during a period where rapid increases in transportation supply were arguably accommodating, if not directing, the growth in population and economic activity of the post-war boom. As long as the institutional environment and available resources supported this policy, trip-based models were sufficient to assess the relative performance of transportation alternatives. It was clear from the beginning, however, that the derived nature of the demand for transportation was understood and accepted, yet not reflected in the FSM. The 1970s, however, brought fundamental changes in urban, environmental, and energy policy, and with it the first re-consideration of travel forecasting. It was during this period that the ABA was first studied in depth.A wealth of behavioral theories, conceptual frameworks, analytical methodologies, and empirical studiesof travel behavior emerged during this same period that the policy environment was evolving. These advances shared “a common philosophical perspective, whereby the conventional approach to the study of travel behavior … is replaced by a richer, more holistic, framework in which travel is analyzed as daily or multi-day patterns of behavior, related to and derived from differences in lifestyles and activity participation among the population” (Jones et al., 1990). This common philosophy has become known as the “activity-based approach”. The motivation of the activity approach is that travel decisions are activity based, and that any understanding of travel behavior is secondary to a fundamental understanding of activity behavior. The activity approach explicitly recognizes and addresses the inability of trip-based models to reflect underlying behavior and, therefore, the inability of such models to be responsive to evolving policies oriented toward management versus expansion of transportation infrastructure and services.In the next section, a summary and critique of the convention trip-based approach is presented, followed by an overview of ABAs, focusing on how these approaches address the various limitations of the conventional model. This is followed by a review of representative examples of activity-based approaches, including several perhaps best considered as contributions to understanding travel behavior, and several oriented toward direct application in forecasting and policy analysis. Some summary comments are then provided including an assessment of the future of both trip-based and activity-based approaches.

Suggested Citation
Michael G. McNally and Craig R. Rindt (2007) The Activity-Based Approach. Working Paper UCI-ITS-WP-07-1. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/86h7f5v0.

conference paper

An L.A. Story: Impacts of Land Use and Housing Costs on Commuting

101st Annual Meeting of the Transportation Research Board

Publication Date

January 1, 2022
Suggested Citation
Md Rabiul Islam and Jean-Daniel Saphores (2022) “An L.A. Story: Impacts of Land Use and Housing Costs on Commuting”. 101st Annual Meeting of the Transportation Research Board.

conference paper

Disaggregating FAF2 data for California

Proceedings of the 2009 meeting of the Transportation Research Forum

Publication Date

January 1, 2009

Author(s)

Suggested Citation
S. Aly and A.C. Regan (2009) “Disaggregating FAF2 data for California”, in Proceedings of the 2009 meeting of the Transportation Research Forum.

published journal article

Assessing Perception of Wildfires and Related Impacts among Adult Residents of Southern California

International Journal of Environmental Research and Public Health

Publication Date

January 1, 2023

Author(s)

Shahir Masri, Erica Anne Shenoi, Dana Rose Garfin, Jun Wu

Abstract

Major wildfires and their smoke pose a threat to public health and are becoming more frequent in the United States, particularly in California and other populated, fire-prone states. Therefore, it is crucial to understand how California residents view wildfires and engage in risk-reducing behaviors during wildfire events. Currently, there is a knowledge gap concerning this area of inquiry. We disseminated a 40-question cross-sectional survey to explore wildfire perception and knowledge along with related risk-reducing measures and policies among 807 adult residents in the fire-prone region of Orange County, California. Results demonstrated that nearly all (>95%) participants had (or knew someone who had) previously experienced a wildfire. Female gender, knowing a wildfire victim and reporting to have a general interest/passion for environmental issues were the three factors most strongly associated with (1) wildfires (and smoke) being reported as a threat, (2) participants’ willingness to evacuate if threatened by a nearby wildfire, and (3) participants’ willingness to support a wildfire-related tax increase (p < 0.05). The majority (57.4%) of participants agreed that the occurrence of wildfires is influenced by climate change, with the most commonly reported risk-reducing actions (by 44% of participants) being informational actions (e.g., tracking the news) rather than self-motivated physical safety actions (e.g., using an air purifier) (29%). The results of this study can help to inform decision- and policy-making regarding future wildfire events as well as allow more targeted and effective public health messaging and intervention measures, in turn helping to reduce the risk associated with future wildfire/smoke episodes.

Suggested Citation
Shahir Masri, Erica Anne Shenoi, Dana Rose Garfin and Jun Wu (2023) “Assessing Perception of Wildfires and Related Impacts among Adult Residents of Southern California”, International Journal of Environmental Research and Public Health, 20(1), p. 815. Available at: 10.3390/ijerph20010815.