conference paper

Mixed global and local assignment algorithms for quasi-dynamic local truckload trucking operations with strict time windows

Transportation network planning: Planning and administration

Publication Date

January 1, 2000

Author(s)

Amelia Regan, S Jagannathan, XB Wang

Abstract

Examined are the trade-offs associated with local and global, but myopic, assignment heuristics for local truckload trucking operations such as those associated with drayage operations near intermodal facilities. These operations involve a combination of loads that are known at the beginning of the day and those that arrive dynamically throughout the day. Some of the dynamically arriving loads are revenue-generating moves, and others are trailer, chassis, or container repositioning moves. Because a significant fraction of the day’s loads are known a priori, dispatchers would like to be able to construct schedules for the day and then to make minor changes to these schedules as the day progresses. The efficiency of an operation in which new loads are added to or appended to schedules constructed at the start of the day versus one in which the whole system is reoptimized several times during the day is examined. The reoptimization method does not seek to preserve current schedules, but the local optimization techniques do. Solutions were examined with a geographic information system-based simulation model developed for this purpose.

Suggested Citation
AC Regan, S Jagannathan and XB Wang (2000) “Mixed global and local assignment algorithms for quasi-dynamic local truckload trucking operations with strict time windows”, in Transportation network planning: Planning and administration. TRANSPORTATION RESEARCH BOARD NATL RESEARCH COUNCIL / Transportat Res Board, pp. 49–55.

conference paper

Interactive simulation for modeling dynamic driver behavior in response to ATIS

Proceedings of the ASCE Fifth International Conference on Computing in Civil and Building Engineering

Publication Date

January 1, 1993
Suggested Citation
Jeffrey L. Adler, Michael G. McNally and Wilfred W. Recker (1993) “Interactive simulation for modeling dynamic driver behavior in response to ATIS”, in Proceedings of the ASCE Fifth International Conference on Computing in Civil and Building Engineering. New York, NY: American Society of Civil Engineers, pp. 591–598.

MS Thesis

Safety implications of weaving sections in freeway design : a case study in Orange County

Suggested Citation
Veronica M. Alvarez (2002) Safety implications of weaving sections in freeway design : a case study in Orange County. MS Thesis. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991029121869704701.

published journal article

Association Between Outdoor Air Pollution and Risk of Malignant and Benign Brain Tumors: The Multiethnic Cohort Study

JNCI Cancer Spectrum

Publication Date

April 1, 2020

Author(s)

Anna H Wu, Jun Wu, Chiuchen Tseng, Juan Yang, Salma Shariff-Marco, Scott Fruin, Timothy Larson, Veronica W Setiawan, Shahir Masri, Jacqueline Porcel, Jennifer Jain, Thomas C Chen, Daniel O Stram, Loïc Le Marchand, Beate Ritz, Iona Cheng

Abstract

There are increasing concerns about the potential impact of air pollution on chronic brain inflammation and microglia cell activation, but evidence of its carcinogenic effects is limited.We used kriging interpolation and land use regression models to estimate long-term air pollutant exposures of oxides of nitrogen (NOx, NO2), kriging interpolation for ozone (O3), carbon monoxide, and particulate matter (PM2.5, PM10), and nearest monitoring station measurements for benzene for 103 308 men and women from the Multiethnic Cohort, residing largely in Los Angeles County from recruitment (1993–1996) through 2013. We used Cox proportional hazards models to examine the associations between time-varying pollutants and risk of malignant brain cancer (94 men, 116 women) and meningioma (130 men, 425 women) with adjustment for sex, race and ethnicity, neighborhood socioeconomic status, smoking, occupation, and other covariates. Stratified analyses were conducted by sex and race and ethnicity.Brain cancer risk in men increased in association with exposure to benzene (hazard ratio [HR] = 3.52, 95% confidence interval [CI] = 1.55 to 7.55) and PM10 (HR = 1.80, 95% CI = 1.00 to 3.23). Stronger associations with PM10 (HR = 3.02, 95% CI = 1.26 to 7.23), O3 (HR = 2.93, 95% CI = 1.09 to 7.88), and benzene (HR = 4.06, 95% CI = 1.17 to 18.2) were observed among Latino men. Air pollution was unrelated to risk of meningioma except that O3 exposure was associated with risk in men (HR = 1.77, 95% CI = 1.02 to 3.06). Brain cancer risk in women was unrelated to air pollution exposures.Confirmation of these sex differences in air pollution–brain cancer associations and the stronger findings in Latino men in additional diverse populations is warranted.

Suggested Citation
Anna H Wu, Jun Wu, Chiuchen Tseng, Juan Yang, Salma Shariff-Marco, Scott Fruin, Timothy Larson, Veronica W Setiawan, Shahir Masri, Jacqueline Porcel, Jennifer Jain, Thomas C Chen, Daniel O Stram, Loïc Le Marchand, Beate Ritz and Iona Cheng (2020) “Association Between Outdoor Air Pollution and Risk of Malignant and Benign Brain Tumors: The Multiethnic Cohort Study”, JNCI Cancer Spectrum, 4(2), p. pkz107. Available at: 10.1093/jncics/pkz107.

published journal article

A model of complex travel behavior: Part I—Theoretical development

Transportation Research Part A: General

Publication Date

July 1, 1986

Abstract

This paper presents a policy sensitive approach to modeling travel behavior based on activity pattern analysis. A theoretical model of complex travel behavior is formulated on a recognition of a wide range of interdependencies associated with an individual’s travel decisions in a constrained environment. Travel is viewed as input to a more basic process involving activity decisions. A fundamental tenet of this approach is that travel decisions are driven by the collection of activities that form an agenda for participation; the utility of any specific travel decision can be determined only within the context of the entire agenda. Based on the theoretical model of complex travel behavior, an operational system of models, STARCHILD (Simulation of Travel/Activity Responses to Complex Household Interactive Logistic Decisions), has been developed to examine the formation of household travel/activity patterns, and is presented in a companion paper (Recker et al., 1986).

Suggested Citation
W. W. Recker, M. G. McNally and G. S. Root (1986) “A model of complex travel behavior: Part I—Theoretical development”, Transportation Research Part A: General, 20(4), pp. 307–318. Available at: 10.1016/0191-2607(86)90089-0.

conference paper

Doppelgänger Test Generation for Revealing Bugs in Autonomous Driving Software

2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Publication Date

May 1, 2023

Author(s)

Yuqi Huai, Yuntianyi Chen, Sumaya Almanee, Tuan Ngo, Xiang Liao, Ziwen Wan, Qi Alfred Chen, Joshua Garcia

Abstract

Vehicles controlled by autonomous driving software (ADS) are expected to bring many social and economic benefits, but at the current stage not being broadly used due to concerns with regard to their safety. Virtual tests, where autonomous vehicles are tested in software simulation, are common practices because they are more efficient and safer compared to field operational tests. Specifically, search-based approaches are used to find particularly critical situations. These approaches provide an opportunity to automatically generate tests; however, system-atically producing bug-revealing tests for ADS remains a major challenge. To address this challenge, we introduce DoppelTest, a test generation approach for ADSes that utilizes a genetic algorithm to discover bug-revealing violations by generating scenarios with multiple autonomous vehicles that account for traffic control (e.g., traffic signals and stop signs). Our extensive evaluation shows that DoppelTest can efficiently discover 123 bug-revealing violations for a production-grade ADS (Baidu Apollo) which we then classify into 8 unique bug categories.

Suggested Citation
Yuqi Huai, Yuntianyi Chen, Sumaya Almanee, Tuan Ngo, Xiang Liao, Ziwen Wan, Qi Alfred Chen and Joshua Garcia (2023) “Doppelgänger Test Generation for Revealing Bugs in Autonomous Driving Software”, in 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), pp. 2591–2603. Available at: 10.1109/ICSE48619.2023.00216.

published journal article

Sustainable neighbourhood development: Missed opportunities in southern California

Environment and planning. B, Planning & design

Publication Date

June 1, 2010
Suggested Citation
Ajay Garde, Jean-Daniel Saphores, Richard Matthew and Kristen Day (2010) “Sustainable neighbourhood development: Missed opportunities in southern California”, Environment and planning. B, Planning & design, 37(3), pp. 387–407. Available at: 10.1068/b35098.

other

A design automation methodology based on graph neural networks to model integrated circuits and mitigate hardware security threats

Publication Date

October 10, 2024

Author(s)

Suggested Citation
Mohammad Abdullah Al Faruque, Rozhin Yasaei and Shih-Yuan Yu (2024) “A design automation methodology based on graph neural networks to model integrated circuits and mitigate hardware security threats”. Available at: https://patents.google.com/patent/US20240338491A1/en (Accessed: August 21, 2025).

published journal article

High-Speed Rail in America: An Evaluation of the Regulatory, Real Property, and Environmental Obstacles a Project Will Encounter

North Carolina Journal of Law & Technology

Publication Date

April 1, 2012

Author(s)

Darren A Prum, Sarah Catz
Suggested Citation
Darren A Prum and Sarah L Catz (2012) “High-Speed Rail in America: An Evaluation of the Regulatory, Real Property, and Environmental Obstacles a Project Will Encounter”, North Carolina Journal of Law & Technology, 13(2). Available at: https://heinonline.org/HOL/P?h=hein.journals/ncjl13&i=255.

conference paper

A distributed, scalable, and synchronized framework for large-scale microscopic traffic simulation

Proceedings. 2005 IEEE intelligent transportation systems, 2005.

Publication Date

January 1, 2005
Suggested Citation
Raymond Klefstad, Yue Zhang, Mingjie Lai, R Jayakrishnan and Riju Lavanya (2005) “A distributed, scalable, and synchronized framework for large-scale microscopic traffic simulation”, in Proceedings. 2005 IEEE intelligent transportation systems, 2005.. IEEE / IEEE, pp. 813–818. Available at: 10.1109/itsc.2005.1520154.