published journal article
Area of Expertise: Unspecified
conference paper
Characteristics of speed dispersion and its relationships with the fundamental traffic flow parameters in urban freeways: A case study in northern California
Proceedings of the 89th annual meeting of the transportation research board
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Abstract
This research reveals statistical characteristics of speed dispersion and its relationships with fundamental traffic flow parameters in northern California. Nearly a quarter million vehicle observations of a five-lane urban freeway are examined individually by lane and aggregately for a total of seven categories. Speed dispersion is measured by coefficient of variation of speed (CVS) and standard deviation of speed (SDS). CVS displays an exponential form of occupancy or space mean speed, and is two-phase linear to flow. Variation of CVS is stable and similar across lanes during light traffic, and afterward increases and diverges into three groups. SDS in contrast does not present any simple equation of the fundamental parameters. Both CVS and SDS of the all lane mix are greater than those of other categories given fixed occupancy or mean speed.
Suggested Citation
Chih-Lin Chung and Will Recker (2010) “Characteristics of speed dispersion and its relationships with the fundamental traffic flow parameters in urban freeways: A case study in northern California”, in Proceedings of the 89th annual meeting of the transportation research board, p. 19p.conference paper
Using interactive simulation to model driver behavior under ATIS
Proceedings of the Fourth International Conference on Micrcomputers in Transportation
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Suggested Citation
Jeffrey L. Adler, Wilfred W. Recker and Michael G. McNally (19983) “Using interactive simulation to model driver behavior under ATIS”, in Proceedings of the Fourth International Conference on Micrcomputers in Transportation. Baltimore, MD, pp. 344–355.published journal article
Greedy motion planning for simultaneous signal landscape mapping and receiver localization
IEEE J. Sel. Top. Signal Process.
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Author(s)
Suggested Citation
Zaher M. Kassas, Ari Arapostathis and Todd E. Humphreys (2015) “Greedy motion planning for simultaneous signal landscape mapping and receiver localization”, IEEE J. Sel. Top. Signal Process., 9(2), pp. 247–258. Available at: 10.1109/jstsp.2014.2387101.published journal article
Attitudinal models of modal choice: The multinomial case for selected nonwork trips
Transportation
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Suggested Citation
Wilfred W. Recker and Richard F. Stevens (1976) “Attitudinal models of modal choice: The multinomial case for selected nonwork trips”, Transportation, 5(4), pp. 355–375. Available at: 10.1007/BF00151097.published journal article
A microsimulation model of Swedish housing demand
Journal of Urban Economics
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Suggested Citation
David Brownstone, Peter Englund and Mats Persson (1988) “A microsimulation model of Swedish housing demand”, Journal of Urban Economics, 23(2), pp. 179–198. Available at: 10.1016/0094-1190(88)90013-7.published journal article
Changing objectives for American transit Part 1. 1950–1980
Transport Reviews
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Author(s)
Suggested Citation
Gordon J. Fielding (1983) “Changing objectives for American transit Part 1. 1950–1980”, Transport Reviews, 3(3), pp. 287–299. Available at: 10.1080/01441648308716530.conference paper
Carbon Nanotubes to Improve Short Glass Fiber Composites
Proceedings of the American Society for Composites: Thirty-First Technical Conference
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Abstract
Carbon Nanotubes to Improve Short Glass Fiber Composites
Suggested Citation
Eman Taha, Elisa Borowski and Usama Kandil (2016) “Carbon Nanotubes to Improve Short Glass Fiber Composites”, in Proceedings of the American Society for Composites: Thirty-First Technical Conference. Available at: https://www.dpi-proceedings.com/index.php/asc31/article/view/3083 (Accessed: August 21, 2025).published journal article
Navigation with cellular CDMA Signals—Part I: Signal modeling and software-defined receiver design
IEEE Transactions on Signal Processing
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Suggested Citation
Joe Khalife, Kimia Shamaei and Zaher M. Kassas (2018) “Navigation with cellular CDMA Signals—Part I: Signal modeling and software-defined receiver design”, IEEE Transactions on Signal Processing, 66(8), pp. 2191–2203. Available at: 10.1109/tsp.2018.2799167.published journal article
Maternal Exposure to Ambient Air Pollution Mixture and Premature Rupture of Membranes: Evidence from A Large Cohort in Southern California
ISEE Conference Abstracts
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Abstract
BACKGROUND AND AIM: There is minimal evidence of relationships between maternal air pollution exposure and spontaneous premature rupture of membranes (SPROM), a critical obstetrical problem that can significantly increase maternal and fetal mortality and morbidity. No prior study has explored the PROM risk related to specific components of particulate matter with aerodynamic diameters of ≤ 2.5 µm (PM₂.₅). We examined associations between maternal exposure to nitrogen dioxide (NO₂), ozone (O₃), PM₂.₅, PM10, and PM₂.₅ constituents and SPROM. METHOD: A large retrospective cohort study was conducted and included 427,870 singleton live births from Kaiser Permanente Southern California during 2008-2018. Monthly averages of NO₂, O₃ (8-h daily maximum), PM₂.₅, and PM10 were measured using empirical Bayesian kriging based on measurements from monitoring stations. Data on PM₂.₅ sulfate, nitrate, ammonium, organic matter, and black carbon were obtained from a fine-resolution model. A discrete time approach with pooled logistic regressions was used to estimate associations throughout the pregnancy and based on trimesters and gestational months. The quantile-based g-computation models were fitted to examine the effects of 1) the air pollution mixture of four pollutants of interest and 2) the mixture of PM₂.₅ components. RESULTS: There were 37,857 SPROM cases (8.8%) in our study population. We observed relationships between maternal exposure to all four pollutants and SPROM. PM₂.₅ sulfate, nitrate, ammonium, and organic matter were associated with higher SPROM risks in the single-pollutant model. Mixture analyses demonstrated that the overall effects of the air pollution mixture and PM₂.₅ mixture in this study were mainly driven by O₃ and PM₂.₅ nitrate, respectively. Underweight mothers had a significantly higher risk of SPROM associated with NO₂. CONCLUSIONS: Our findings add to the literature on associations between air pollution exposure and SPROM. This is the first study reporting the impact of PM₂.₅ constituents on SPROM.