research report

Integration of weigh-in-motion and inductive signature technology for advanced truck monitoring

Publication Date

January 1, 2014
Suggested Citation
Andre Tok and Stephen G Ritchie (2014) Integration of weigh-in-motion and inductive signature technology for advanced truck monitoring.

working paper

The Congestion Effects of Truck-Involved Urban Freeway Collisions

Publication Date

November 1, 1989

Abstract

Trucks are a major contributor to non-recurrent congestion in the region that comprises Los Angeles, Ventura, and Orange Counties of California. In 1987, for example, a total of 5,203 mainline freeway collisions (i.e., no ramp or connector collisions) involving trucks were reported (according to the state-maintained records of California Highway Patrol field investigations) in this tri-county region. Approximately 91 percent of all mainline truck incidents on Southern California freeways occur on weekdays (Monday through Friday) and 95 percent of these weekday freeway incidents occur during the period of heavy freeway usage (6:00 a.m.–6:00 p.m.) with approximately 56 percent occurring during the morning (6:00 a.m.– 9:00 a.m.) and evening (3:00 p.m.– 7:00 p.m.) peak periods. This amounts to an average of approximately 19 truck incidents per weekday on the tri-county freeway system, the majority of which (15 per day) occur on the heavily traveled freeways of Los Angeles County. With congestion increasing on this and other metropolitan freeway systems, it is important to determine the impact of truck-related incidents on the freeway system, and to seek ways to mitigate this impact. The research reported here focuses on a particular aspect of the truck incident problem: Estimation of the impact of truck-involved collisions on the operation of the freeway system in terms of total delay. (Non-collision incidents, such as stalls and spilled loads, are not included in this analysis.)

Suggested Citation
Will Recker, Thomas F. Golob, Paula D. Nohalty and Chang-Wei Hsueh (1989) The Congestion Effects of Truck-Involved Urban Freeway Collisions. Working Paper UCI-ITS-WP-89-8. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/9c4581m2.

published journal article

Proposing new measures of employment deconcentration and spatial dispersion across metropolitan areas in the US

Papers in Regional Science

Publication Date

January 1, 2021

Author(s)

John R. Hipp, Jae Hong Kim, Benjamin Forthun

Abstract

A well-known challenge is measuring employment concentration across metropolitan areas and analysing the evolving spatial structure. We introduce a new approach that avoids identifying “job centres” and conceptualizes the distribution of employment based on two dimensions: (1) employment deconcentration; and (2) spatial dispersion of high employment locations. We apply this framework to study 329 US metropolitan regions based on 1 sq km. grid cells. We find diverse trajectories of metropolitan restructuring between 2000 and 2010, and substantial variation across regions in employment concentration. The new framework enables researchers to compare metropolitan regions to gain insights into the dynamic nature of metropolitan spatial structure.

Suggested Citation
John R. Hipp, Jae Hong Kim and Benjamin Forthun (2021) “Proposing new measures of employment deconcentration and spatial dispersion across metropolitan areas in the US”, Papers in Regional Science, 100(3), pp. 815–841. Available at: 10.1111/pirs.12593.

conference paper

Development of methodology to design advanced traffic surveillance systems for traffic information based an origin-destination

Information systems and technology

Publication Date

January 1, 2005

Abstract

The innovative feature of this study is first to develop a methodology for designing advanced traffic surveillance systems based on microscopic traffic simulations. The developed methodology makes it possible ultimately to obtain algorithm structures and associated parameter values. The methodology consists of two main simulation experiments. The first experiment includes a parametric evaluation based on Monte Carlo simulation to identify the required performance of the surveillance system. The second experiment involves performing a microscopic traffic simulation with actual surveillance algorithms and synthetic algorithm inputs. Paramics capable of adding various external modeling routines realized by advanced programming interfaces was used for both simulation experiments. As an application of the proposed methodology, an inductive signature-based anonymous vehicle tracking system was designed via origin-destination flow estimation problem. The outcomes of this study can serve as a logical and necessary precursor to field implementation of a variety of traffic surveillance systems.

Suggested Citation
Cheol Oh and Stephen G. Ritchie (2005) “Development of methodology to design advanced traffic surveillance systems for traffic information based an origin-destination”, in Information systems and technology. TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL, pp. 37–46.

conference paper

TARI: Meeting delay requirements in VANETs with efficient authentication and revocation

International conference on wireless access in vehicular environments, WAVE 2009

Publication Date

January 1, 2009

Author(s)

Roger Chen, D. Ma, Amelia Regan
Suggested Citation
R. Chen, D. Ma and A.C. Regan (2009) “TARI: Meeting delay requirements in VANETs with efficient authentication and revocation”, in International conference on wireless access in vehicular environments, WAVE 2009.

published journal article

Functional data analysis approach for mapping change in time series: A case study using bicycle ridership patterns

Transportation Research Interdisciplinary Perspectives

Publication Date

January 1, 2023

Author(s)

Avipsa Roy, Trisalyn Nelson, Pavan Turaga

Abstract

Monitoring change is an important aspect of understanding variations in spatial–temporal processes. Recently, ‘big data’ on mobility, which are detailed across space and time, have become increasingly available from crowdsourced platforms. New methods are needed to best utilize the high spatial and temporal resolution of such data for monitoring purposes. These data can be considered mappable time series but are challenging to use owing to varying sampling rates and issues of temporal misalignment. We present a methodological framework for change detection from big data captured by crowdsourced fitness app Strava, which addresses misalignment issues in the underlying ridership patterns and maps temporal clusters of bicycling ridership change in the city of Phoenix, AZ between 2017 and 2018 at the street-segment level. Hourly and monthly changes were classified into four clusters for each time period – mapped along with crash density to highlight variations in bicycling ridership. Using spatially and temporally continuous data our study advances the existing approaches to mobility analysis, by using a functional data analysis approach. Our method is reproducible and can be used to expand studies in other cities for monitoring changes directly from crowdsourced ridership data thereby facilitating the decision-making process by practitioners to assess and plan safe bicycle infrastructure.

Suggested Citation
Avipsa Roy, Trisalyn Nelson and Pavan Turaga (2023) “Functional data analysis approach for mapping change in time series: A case study using bicycle ridership patterns”, Transportation Research Interdisciplinary Perspectives, 17, p. 100752. Available at: 10.1016/j.trip.2022.100752.

published journal article

Modeling dynamic transportation networks: An intelligent transportation system oriented approach.

TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Publication Date

January 1, 1999
Suggested Citation
R Jayakrishnan (1999) “Modeling dynamic transportation networks: An intelligent transportation system oriented approach.”, TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 33(6), pp. 480–482.

policy brief

Capacity Building is Key for Accelerating Open-loop Payments Adoption Among Transit Agencies

Publication Date

September 15, 2025

Author(s)

Susan Pike, Juan Matute, Monisha Reginald, Jean-Daniel Saphores

Abstract

Open-loop payments systems allow riders to pay fares using general-purpose payment methods like credit cards, debit cards, or mobile wallets (Apple Pay, Google Pay), rather than being limited to a single transit agency’s own payment system. Broad adoption of open-loop payments offers major benefits for public transit, including lower costs, greater convenience for riders, and improved operational efficiency. The California Integrated Travel Project (Cal-ITP) has helped pave the way for transit agencies interested in this technology by providing resources, guidance, and hands-on support. Cal-ITP works directly with transit agencies to address known challenges and identify solutions to emerging barriers. Understanding how agencies decide whether to adopt open-loop and other technologies is key to ensuring the effectiveness of programs like Cal-ITP. To explore this, the research team surveyed transit agencies in California to identify the factors that influence adoption of open-loop payments.

Suggested Citation
Susan Pike, Juan Matute, Monisha Reginald and Jean-Daniel Saphores (2025) Capacity Building is Key for Accelerating Open-loop Payments Adoption Among Transit Agencies. Policy Brief. UC ITS. Available at: https://doi.org/10.7922/g2pn9404.

conference paper

Charging Infrastructure Decisions by Heavy-Duty Vehicle Fleet Operators: An Exploratory Analysis

Proceedings, 104th Annual Meeting of the Transportation Research Board

Abstract

Insufficient charging/fueling infrastructure poses a major challenge to achieving U.S. policy goals for transitioning the heavy-duty vehicle (HDV) sector to zero-emission vehicles. Addressing the infrastructure needs of HDV fleet operators, who are key demand-side stakeholders, is crucial for developing effective solutions and strategies. This study investigates these needs through a fleet survey of California’s drayage sector, focusing on battery electric trucks. Key aspects examined include preferences for charging locations, access types, charging duration, time-of-day for charging, and innovative solutions like Truck-as-a-Service. Analyzing responses from 53 companies with varying fleet sizes, annual revenues, and operational characteristics, the study employed a comprehensive exploratory approach, utilizing descriptive analysis, thematic analysis, and hypothesis testing. Findings reveal that while most fleets preferred on-site charging, about a quarter, primarily smaller fleets with five or fewer trucks, preferred both on-site and off-site options. Private access was often favored for on-site facilities, though some respondents recognized the benefits of shared access for expanding operational coverage. The study also identified a need for faster charging solutions at both off-site and on-site locations, particularly for long-haul or mixed operations. Time-of-day preferences varied widely, driven by the need for efficient operations. Furthermore, a small proportion of participating fleets preferred Truck-as-a-Service over traditional procurement, predominantly among smaller fleets or those with lower revenues. The comprehensive research findings contribute to a deeper understanding of charging infrastructure needs and offer practical insights for policy practitioners and industry stakeholders committed to advancing zero-emission infrastructure.

Suggested Citation
Youngeun Bae, Craig R Rindt and Stephen Ritchie (2025) “Charging Infrastructure Decisions by Heavy-Duty Vehicle Fleet Operators: An Exploratory Analysis”, in Proceedings, 104th Annual Meeting of the Transportation Research Board. Washington, D.C.. Available at: https://escholarship.org/uc/item/5cf1w75g.