conference paper
Area of Expertise: Unspecified
conference paper
Trip length distribution of TNC trips: based on empirical data in Chicago
ISTDM 2021
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Abstract
Submission: Trip Length Distribution of TNC Trips: Based on Empirical Data in ChicagoPresenter: Irene MartinezAuthors: Irene Martínez (University of California, Irvine)*; Wen-Long Jin (University of California, Irvine)
Suggested Citation
Irene Martinez and Wen-long Jin (2021) “Trip length distribution of TNC trips: based on empirical data in Chicago”, in ISTDM 2021. Available at: https://limos.engin.umich.edu/istdm2021/session/th-6-lightning-session-shared-mobility-irene-martinez/ (Accessed: October 11, 2023).published journal article
Structural equation modeling for travel behavior research
Transportation Research Part B: Methodological
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Abstract
Structural equation modeling (SEM) is an extremely flexible linear-in-parameters multivariate statistical modeling technique. It has been used in modeling travel behavior and values since about 1980, and its use is rapidly accelerating, partially due to the availability of improved software. The number of published studies, now known to be more than 50, has approximately doubled in the past three years. This review of SEM is intended to provide an introduction to the field for those who have not used the method, and a compendium of applications for those who wish to compare experiences and avoid the pitfall of reinventing previous research.
Suggested Citation
Thomas F Golob (2003) “Structural equation modeling for travel behavior research”, Transportation Research Part B: Methodological, 37(1), pp. 1–25. Available at: 10.1016/S0191-2615(01)00046-7.conference paper
Optimal parameter settings for adaptive traffic-actuated signal control
2008 11th international IEEE conference on intelligent transportation systems
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Abstract
This paper proposes a real-time adaptive control model for signalized intersections that decides optimal control parameters commonly found in modern actuated controllers, aiming to exploit the adaptive functionality of traffic-actuated control and to improve the performance of traffic-actuated signal system. This model incorporates a flow prediction process that estimates the future arrival rates and turning proportions at target intersections based on the available signal timing plan and detector information. Signal control parameters are optimized dynamically cycle-by-cycle to satisfy these estimated demands. The proposed adaptive control strategy is tested on a network consisting of thirty-eight actuated signals using microscopic simulation. Simulation results show that the proposed adaptive model is able to improve the performance of the study network, especially under off-peak traffic conditions.
Suggested Citation
Xing Zheng and Lianyu Chu (2008) “Optimal parameter settings for adaptive traffic-actuated signal control”, in 2008 11th international IEEE conference on intelligent transportation systems. IEEE, p. 12p. Available at: 10.1109/itsc.2008.4732676.published journal article
Cordon tolling in a city with congested bridges
Economics of Transportation
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Suggested Citation
Jan K. Brueckner (2014) “Cordon tolling in a city with congested bridges”, Economics of Transportation, 3(4), pp. 235–242. Available at: 10.1016/j.ecotra.2015.01.002.published journal article
Examining the Relationship Between Extreme Temperature, Microclimate Indicators, and Gestational Diabetes Mellitus in Pregnant Women Living in Southern California
Environmental Epidemiology
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Introduction: Few studies have assessed extreme temperatures’ impact on gestational diabetes mellitus (GDM). We examined the relation between GDM risk with weekly exposure to extreme high and low temperatures during the first 24 weeks of gestation and assessed potential effect modification by microclimate indicators. Methods: We utilized 2008–2018 data for pregnant women from Kaiser Permanente Southern California electronic health records. GDM screening occurred between 24 and 28 gestational weeks for most women using the Carpenter-Coustan criteria or the International Association of Diabetes and Pregnancy Study Groups criteria. Daily maximum, minimum, and mean temperature data were linked to participants’ residential address. We utilized distributed lag models, which assessed the lag from the first to the corresponding week, with logistic regression models to examine the exposure-lag-response associations between the 12 weekly extreme temperature exposures and GDM risk. We used the relative risk due to interaction (RERI) to estimate the additive modification of microclimate indicators on the relation between extreme temperature and GDM risk. Results: GDM risks increased with extreme low temperature during gestational weeks 20–-24 and with extreme high temperature at weeks 11–16. Microclimate indicators modified the influence of extreme temperatures on GDM risk. For example, there were positive RERIs for high-temperature extremes and less greenness, and a negative RERI for low-temperature extremes and increased impervious surface percentage. Discussion: Susceptibility windows to extreme temperatures during pregnancy were observed. Modifiable microclimate indicators were identified that may attenuate temperature exposures during these windows, which could in turn reduce the health burden from GDM.
Suggested Citation
Anais Teyton, Yi Sun, John Molitor, Jiu-Chiuan Chen, David Sacks, Chantal Avila, Vicki Chiu, Jeff Slezak, Darios Getahun, Jun Wu and Tarik Benmarhnia (2023) “Examining the Relationship Between Extreme Temperature, Microclimate Indicators, and Gestational Diabetes Mellitus in Pregnant Women Living in Southern California”, Environmental Epidemiology, 7(3), p. e252. Available at: 10.1097/EE9.0000000000000252.published journal article
Guest editors' introduction: Secure automotive systems
IEEE DESIGN & TEST
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Sandip Ray, Ahmad-Reza Sadeghi and Mohammad Al Faruque (2019) “Guest editors' introduction: Secure automotive systems”, IEEE DESIGN & TEST, 36(6), pp. 5–6. Available at: 10.1109/MDAT.2019.2944085.conference paper
Understanding the Internet-Wide Vulnerability Landscape for ROS-based Robotic Vehicles
Proceedings Symposium on Vehicle Security & Privacy
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Wentao Chen, Sam Der, Yunpeng Luo, Fayzah Alshammari and Qi Alfred Chen (2024) “Understanding the Internet-Wide Vulnerability Landscape for ROS-based Robotic Vehicles”, in Proceedings Symposium on Vehicle Security & Privacy. Symposium on Vehicle Security & Privacy, San Diego, CA, USA: Internet Society. Available at: 10.14722/vehiclesec.2024.23018.conference paper
Dynamic simulation-assignment methodology to evaluate in-vehicle information strategies in urban traffic networks
1990 winter simulation conference proceedings
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Suggested Citation
R. Jayakrishnan and H.S. Mahmassani (1990) “Dynamic simulation-assignment methodology to evaluate in-vehicle information strategies in urban traffic networks”, in 1990 winter simulation conference proceedings. IEEE, pp. 763–769. Available at: 10.1109/wsc.1990.129611.published journal article