published journal article
Area of Expertise: Unspecified
conference paper
Transit ridership, bus ridership, and physical activity in a low income community
Proceedings of the annual meeting of the association of collegiate schools of planning (ACSP), cincinnati, OH
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Author(s)
Suggested Citation
D. Houston, M. Boarnet, W. Li, S. Spears and D. Yang (2012) “Transit ridership, bus ridership, and physical activity in a low income community”, in Proceedings of the annual meeting of the association of collegiate schools of planning (ACSP), cincinnati, OH.conference paper
A real-time information processing algorithm for the evaluation and implementation of ATMS strategies
Proceedings of the intelligent vehicles `92 symposium
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Author(s)
Abstract
One component of the overall intelligent vehicle highway system (IVHS) is the advanced traffic management system (ATMS). An ATMS functions as the central nervous system of the overall transportation system, receiving and combining inputs from a variety of standard (on-street loops, operator-inputs) and advanced technology (image processing, in-vehicle probes) sources. Evaluation of ATMS strategies involves simulation of large systems of traffic actuated controllers and, ultimately, development of dynamic ‘real-time’ optimization strategies. In general, existing simulation and optimization tools were developed for ‘off-line’ analysis and typically impose restrictions on the types of signal control systems which can be simulated. This paper focuses on development of a ‘real-time’ information processing algorithm, based on a macroscopic, platoon-based model of traffic flow, for the evaluation of systems of coordinated and uncoordinated traffic actuated controllers.¡¿
Suggested Citation
J.D. Leonard, B. Ramanathan and W.W. Recker (1992) “A real-time information processing algorithm for the evaluation and implementation of ATMS strategies”, in Proceedings of the intelligent vehicles `92 symposium, pp. 225–229. Available at: 10.1109/IVS.1992.252261.conference paper
Race, Socioeconomic Status, and Lead Concentrations in Urban Soil: Implications for Health Inequities
APPAM 2020 International Conference
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Abstract
Background. Communities of color and residents of urban and low-income areas a…
Suggested Citation
Shahir Masri, Alana MW LeBrón, Michael David Logue, Enrique Valencia, Abel Ruiz, Abigail Reyes and Jun Wu (2020) “Race, Socioeconomic Status, and Lead Concentrations in Urban Soil: Implications for Health Inequities”. APPAM 2020 International Conference, APPAM. Available at: https://appam.confex.com/appam/int20/meetingapp.cgi/Paper/35264 (Accessed: August 21, 2025).conference paper
Organizational Decision-making Processes of Alternative Fuel Adoption: An Empirical Study with Heavy-duty Vehicle Fleets in California
100th Transportation Research Board (TRB) Annual Meeting
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Suggested Citation
Youngeun Bae and Craig R Rindt (2021) “Organizational Decision-making Processes of Alternative Fuel Adoption: An Empirical Study with Heavy-duty Vehicle Fleets in California”. 100th Transportation Research Board (TRB) Annual Meeting, Washington, DC.published journal article
Asymptotic Dynamic Response of a Taut String on an Elastic Foundation to a Randomly Moving Load
The Journal of the Acoustical Society of America
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Abstract
This paper considers the dynamic response of a taut string, of infinite extent and resting on an elastic foundation, to a moving concentrated load, whose position X(t) can be regarded as a sample function of a stationary random process. An expression for the asymptotic value of the mean deflection is obtained without specification of the particular random process. The results obtained are applied to an example of practical interest.
Suggested Citation
W. W. Recker (1970) “Asymptotic Dynamic Response of a Taut String on an Elastic Foundation to a Randomly Moving Load”, The Journal of the Acoustical Society of America, 48(1B), pp. 313–316. Available at: 10.1121/1.1912130.conference paper
Priority Queue Formulation of Agent-Based Bathtub Model for Network Trip Flows in the Relative Space
International Symposium on Transportation and Traffic Theory (ISTTT25)
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Author(s)
Suggested Citation
Irene Martinez and Wenlong Jin (2023) “Priority Queue Formulation of Agent-Based Bathtub Model for Network Trip Flows in the Relative Space”. International Symposium on Transportation and Traffic Theory (ISTTT25).published journal article
An empirical analysis and policy implications of work tours utilizing public transit
Transportation Research Part A: Policy and Practice
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Abstract
We analyze the complex travel behavior of workers who utilize public transit as part of their work tours (“transit commuters”). Here, complex travel behavior is defined in terms of tours, where a tour is defined as a sequence of trips and activities that begins and ends at the same location and a work tour contains at least one non-home, work activity. The objective of this study is to investigate how transit commuters link non-work activities as part of work tours under transit operational constraints. In particular, we identify dominant patterns of work tours made by transit commuters and analyze these tours using a set of activity-travel analytics and data from the 2017 National Household Travel Survey (NHTS). The primary insights are: (1) about 80 percent of work tours consist of 7 dominant patterns whereas the remaining 20 percent of tours demonstrate a total of 106 diverse and more complicated patterns; (2) half of the transit work tours are complex; (3) most simple tours are transit-only tours whereas most complex tours are multi-modal tours; and (4) transit use is more complex than the traditional home to work commute with a diverse set of choices at various stages of activity scheduling. While policies associated with public transit typically focus only on the journey to work, this study considers the complete set of trips starting and ending at home including intermediate non-work activity, which can provide insights for land use and transit-related policies to better accommodate the complex travel behavior of commuters who utilize transit.
Suggested Citation
Rezwana Rafiq and Michael G. McNally (2020) “An empirical analysis and policy implications of work tours utilizing public transit”, Transportation Research Part A: Policy and Practice, 142, pp. 237–259. Available at: 10.1016/j.tra.2020.10.018.published journal article
Bicycle streetscapes: a data driven approach to mapping streets based on bicycle usage
International Journal of Sustainable Transportation
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Author(s)
Suggested Citation
Trisalyn A. Nelson, Colin Ferster, Avipsa Roy and Meghan Winters (2023) “Bicycle streetscapes: a data driven approach to mapping streets based on bicycle usage”, International Journal of Sustainable Transportation, 17(8), pp. 931–941. Available at: 10.1080/15568318.2022.2121670.conference paper
Advancing Gross Vehicle Weight Rating Classification Through the Integration of Inductive Loop and Side Fire Camera System
Proceedings, 104th Annual Meeting of the Transportation Research Board
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Abstract
Gross Vehicle Weight Rating (GVWR)-based vehicle activity data is widely used in freight planning, fuel efficiency evaluation, and on-road emission estimation. However, a vehicle’s GVWR remains challenging to obtain using existing highway sensor infrastructure. This paper describes a novel approach to acquire GVWR-based classification data through the fusion of two complementary infrastructure-based sensing technologies: inductive loop sensors and side-fire video cameras. While inductive loops are widely deployed in the U.S., they only provide single-dimensional data with limited information. Side-fire cameras can offer richer details to enhance vehicle classification. Accordingly, an open-source intelligence (OSINT) method was used to establish a GVWR-based vehicle dictionary, linking vehicle specifications from online data sources to GVWR classes. A dataset comprising 9,154 vehicle inductive loop signatures paired with images was then collected and annotated according to the pre-defined dictionary. Next, signature-based and image-based classification models were developed for GVWR classification. Each model was designed to function independently. A signature-based GVWR classification model was trained with a multi-layer perceptron (MLP) neural net architecture and optimized through the implementation of a weighted cross-entropy loss function. A two-stage image-based GVWR classification framework was designed to extract vehicle objects and classify them based on the GVWR scheme. Finally, a linear fusion model was implemented to combine the output of the signature- and image-based models to achieve an improvement over each standalone classification model. The sensor fusion framework significantly outperformed each individual sensing technology, achieving an average correct classification rate of 0.97 and an score of 0.96, which surpasses state-of-the-art methods.