published journal article

Generalized bathtub model of network trip flows

Transportation Research Part B: Methodological

Publication Date

June 1, 2020

Author(s)

Abstract

Vickrey (1991, 2020) proposed a bathtub model for the evolution of trip flows served by privately operated vehicles inside a road network based on three premises: (i) treatment of the road network as a single bathtub; (ii) the speed-density relation at the network level, also known as the network fundamental diagram of vehicular traffic, and (iii) the time-independent negative exponential distribution of trip distances. However, the distributions of trip distances are generally time-dependent in the real world, and Vickrey’s model leads to unreasonable results for other types of trip distance distributions. Thus there is a need to develop a bathtub model with more general trip distance distribution patterns. In this study, we present a unified framework for modeling network trip flows with general distributions of trip distances, including negative exponential, constant, and regularly sorting trip distances studied in the literature. In addition to tracking the number of active trips as in Vickrey’s model, this model also tracks the evolution of the distribution of active trips’ remaining distances. We derive four equivalent differential formulations from the network fundamental diagram and the conservation law of trips for the number of active trips with remaining distances not smaller than any value. Then we define and discuss the properties of stationary and gridlock states, derive the integral form of the bathtub model with the characteristic method, and present two numerical methods to solve the bathtub model based on the differential and integral forms respectively. We further study equivalent formulations and solutions for two special types of distributions of trip distances: time-independent negative exponential or deterministic. In particular, we present six equivalent conditions for Vickrey’s bathtub model to be applicable.

Suggested Citation
Wen-Long Jin (2020) “Generalized bathtub model of network trip flows”, Transportation Research Part B: Methodological, 136, pp. 138–157. Available at: 10.1016/j.trb.2020.04.002.

conference paper

Selective vehicle routing problems under uncertainty without recourse

Proceedings of the INFORMS annual meeting, phoenix, AZ

Publication Date

October 1, 2012
Suggested Citation
M Allahviranloo, J Chow and W.W. Recker (2012) “Selective vehicle routing problems under uncertainty without recourse”, in Proceedings of the INFORMS annual meeting, phoenix, AZ.

conference paper

A framework for navigation with LTE time-correlated pseudorange errors in multipath environments

2019 IEEE 89th vehicular technology conference (VTC2019-Spring)

Publication Date

April 1, 2019

Author(s)

Kimia Shamaei, Joshua J. Morales, Zaher Kassas

Abstract

A navigation framework based on a multi-state constraint Kalman filter (MSCKF) is proposed to reduce the effect of time-correlated pseudorange measurement noise of cellular long-term evolution (LTE) signals. The proposed MSCKF framework captures the position of the antenna over a window of measurements to impose constraints on the position estimate. Simulation results are presented showing a reduction of 57% and 51% in the two-dimensional (2D) and three-dimensional (3D) position root mean squared-error (RMSE), respectively, using the proposed framework compared to an extended Kalman filter (EKF). Experimental results on a ground vehicle navigating in an urban environment are presented showing a reduction of 29% and 64.7% in the 2D and 3D position RMSE, respectively, and a reduction of 19.6% and 86.7% in the 2D and 3D maximum error, respectively, using the proposed framework compared to an EKF.

Suggested Citation
Kimia Shamaei, Joshua J. Morales and Zaher M. Kassas (2019) “A framework for navigation with LTE time-correlated pseudorange errors in multipath environments”, in 2019 IEEE 89th vehicular technology conference (VTC2019-Spring). IEEE (IEEE vehicular technology conference proceedings). Available at: 10.1109/vtcspring.2019.8746561.

conference paper

Re-Envisioning the Park-and-Ride Concept for the Automated Vehicle (AV) Era with Private-to-Shared AV Transfer Stations

Transportation Research Board 103rd Annual Meeting

Publication Date

January 1, 2024
Suggested Citation
Youngyun Bahk and Michael Hyland (2024) “Re-Envisioning the Park-and-Ride Concept for the Automated Vehicle (AV) Era with Private-to-Shared AV Transfer Stations”.

published journal article

Bootstrapping improved estimators for linear regression models

Journal of Econometrics

Publication Date

April 1, 1990

Author(s)

Suggested Citation
David Brownstone (1990) “Bootstrapping improved estimators for linear regression models”, Journal of Econometrics, 44(1-2), pp. 171–187. Available at: 10.1016/0304-4076(90)90078-8.

published journal article

Abstract C052: Association between benzene, a hazardous air pollutant, and lung cancer risk: The Multiethnic Cohort Study

Cancer Epidemiology, Biomarkers & Prevention

Publication Date

June 1, 2020

Author(s)

Iona Cheng, Chiuchen Tseng, Jun Wu, Juan Yang, Salma Shariff-Marco, Jennifer Jain, Seri Park, Scott Fruin, Timothy Larson, Scarlett Lin Gomez, Lynne Wilkens, Daniel Stram, Loic Le Marchand, Beate Ritz, Anna H Wu

Abstract

Background: Benzene is classified as a Group 1 carcinogen in humans. A major pathway of benzene exposure is through inhalation of ambient air contaminated by emissions from motor vehicle exhaust, gas stations, industry, tobacco smoke, and other consumer products. Prior studies of benzene and lung cancer have been limited largely to occupational studies. We examined the association between outdoor air exposure to benzene and lung cancer risk in the large population-based Multiethnic Cohort Study (MEC), including four major U.S. racial/ethnic groups—African Americans, Latinos, Japanese Americans, and Whites. Methods: Ambient benzene exposure was estimated from EPA data from air monitoring stations that were within 20 km of residences of 97,288 MEC participants, largely from Los Angeles County, from the time-period of recruitment (1993-1996) through 12/31/2013. Cox proportional hazards models were used to examine the associations between time-varying benzene exposure and lung cancer risk (cases=2796), adjusting for age, sex, race/ethnicity, smoking, family history of lung cancer, marital status, education, occupation, use of nonsteroidal anti-inflammatory drugs, body mass index, alcohol consumption, physical activity, intake of total calorie, red and processed meats, and neighborhood (block group) socioeconomic status. Stratified analyses were conducted by sex, race/ethnicity, and smoking status. In addition, subgroup analysis was conducted by histologic cell-type (adenocarcinoma, squamous cell carcinoma, small cell carcinoma, large cell, and not otherwise specified carcinoma). Results: Ambient benzene exposure was associated with increased risk of lung cancer (per 1 ppb hazard ratio (HR)=1.18; 95% CI: 1.03-1.35). Slightly higher hazard ratios were observed in females (HR=1.28; 95% CI: 1.05-1.56) in comparison to males (HR=1.12; 95% CI: 0.92-1.35). There was evidence of heterogeneity in associations by race/ethnicity (p heterogeneity=0.02). Specifically, benzene exposure was associated with increased lung cancer risk among African Americans, Japanese Americans, and Latinos (HR ranged 1.18 to 1.42 per 1 ppb), but was inversely associated with risk among Whites. Also, similar associations were seen among ever smokers (HR=1.19; 95% CI: 1.03-1.37) and never smokers (HR=1.25; 95% CI: 0.82-1.89). Across histologic-cell types, a borderline statistically significant association was seen with adenocarcinoma, the most common cell type (HR=1.25, 95% CI: 0.99-1.58). A smaller hazard ratio was observed for squamous cell carcinoma, the stronger smoking-related cell type (HR=1.09, 95% CI: 0.81-1.47). Conclusions: Benzene exposure adversely impacts the risk of lung cancer in the general population but particularly in non-Whites after adjusting for smoking, occupational and other exposures. Additional large population-based studies are needed to confirm this finding and reinforce the need for stringent clear air laws.Citation Format: Iona Cheng, Chiuchen Tseng, Jun Wu, Juan Yang, Salma Shariff-Marco, Jennifer Jain, S. Lani Park, Scott Fruin, Timothy Larson, Scarlett Lin Gomez, Lynne Wilkens, Daniel Stram, Loic Le Marchand, Beate Ritz, Anna H Wu. Association between benzene, a hazardous air pollutant, and lung cancer risk: The Multiethnic Cohort Study [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr C052.

Suggested Citation
Iona Cheng, Chiuchen Tseng, Jun Wu, Juan Yang, Salma Shariff-Marco, Jennifer Jain, S. Lani Park, Scott Fruin, Timothy Larson, Scarlett Lin Gomez, Lynne Wilkens, Daniel Stram, Loic Le Marchand, Beate Ritz and Anna H Wu (2020) “Abstract C052: Association between benzene, a hazardous air pollutant, and lung cancer risk: The Multiethnic Cohort Study”, Cancer Epidemiology, Biomarkers & Prevention, 29(6_Supplement_2), p. C052. Available at: 10.1158/1538-7755.DISP19-C052.

Preprint Journal Article

Impact Evaluation of Falsified Data Attacks on Connected Vehicle Based Traffic Signal Control

Publication Date

October 9, 2020

Author(s)

Shihong Ed Huang, Wai Wong, Yiheng Feng, Qi Alfred Chen, Z. Morley Mao, Henry Liu

Report Number

arXiv:2010.04753

Abstract

Connected vehicle (CV) technology enables data exchange between vehicles and transportation infrastructure and therefore has great potentials to improve current traffic signal control systems. However, this connectivity might also bring cyber security concerns. As the first step in investigating the cyber security of CV-based traffic signal control (CV-TSC) systems, potential cyber threats need to be identified and corresponding impact needs to be evaluated. In this paper, we aim to evaluate the impact of cyber attacks on CV-TSC systems by considering a realistic attack scenario in which the control logic of a CV-TSC system is unavailable to attackers. Our threat model presumes that an attacker may learn the control logic using a surrogate model. Based on the surrogate model, the attacker may launch falsified data attacks to influence signal control decisions. In the case study, we realistically evaluate the impact of falsified data attacks on an existing CV-TSC system (i.e., I-SIG).

Suggested Citation
Shihong Ed Huang, Wai Wong, Yiheng Feng, Qi Alfred Chen, Z. Morley Mao and Henry X. Liu (2020) “Impact Evaluation of Falsified Data Attacks on Connected Vehicle Based Traffic Signal Control”. arXiv. Available at: http://arxiv.org/abs/2010.04753 (Accessed: October 11, 2023).

conference paper

Plug-in electric vehicle diffusion in california: Role of exposure to new technology at home and work

Proceedings of the 99th annual meeting of the transportation research board

Publication Date

January 1, 2020

Author(s)

Debapriya Chakraborty, David Bunch, David Brownstone, Bingzheng Xu, Gil Tal
Suggested Citation
Debapriya Chakraborty, David Bunch, David Brownstone, Bingzheng Xu and Gil Tal (2020) “Plug-in electric vehicle diffusion in california: Role of exposure to new technology at home and work”, in Proceedings of the 99th annual meeting of the transportation research board.

MS Thesis

Essays in environmental economics and policy

Publication Date

January 1, 2008

Author(s)

Abstract

This dissertation comprises two essays that study normative environmental policy and the purported side effects of (already enacted) environmental policies. In the first essay, we analyze the management of a stock pollutant in a simplified economy using optimal control. The level of stock pollutant affects utility negatively and it may trigger a catastrophic event when it hits a predetermined threshold, which results in a sudden drop in utility. A numerical illustration for the case of global climate change shows that decision maker can delay the onset of a catastrophe by increasing abatement (by investing into green capital); and by improving the environmental performance of production technology. This delaying effect can be amplified by using both policy instruments in tandem. We also observe that the time to catastrophe slightly increases with a decrease in discounting factor; an increase in the amount of catastrophic damage and a decrease in post-catastrophe capital prices. The time period from 1979 to 2003 saw the emergence of Corporate Average Fuel Economy (CAFE) standards, fluctuating and then stabilizing gasoline prices, and an increased share of light trucks. In the second essay, we analyze the alleged causality of this increased share by the introduction of fuel economy standards. We estimate the market demand for fuel economy of domestic cars and light trucks using a polynomial lag model. The main result of this essay is that the rising share of light trucks in the new domestic vehicle sales can be attributed to the increase in personal incomes during the 25 years considered, aided by the provision of laxer fuel economy standards for light trucks. Moreover, the fuel economy standards did increase the fuel efficiency of domestic vehicles.

Suggested Citation
Dhawal Nagpal (2008) Essays in environmental economics and policy. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/u4evf/cdi_proquest_journals_304650227.

conference paper

On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures

33rd USENIX Security Symposium (USENIX Security 24)

Publication Date

January 1, 2024

Author(s)

Qingzhao Zhang, Shuowei Jin, Ruiyang Zhu, Zhe (Jared) Sun, Xumiao Zhang, Qi Alfred Chen, Z. Morley Mao
Suggested Citation
Qingzhao Zhang, Shuowei Jin, Ruiyang Zhu, Jiachen Sun, Xumiao Zhang, Qi Alfred Chen and Z. Morley Mao (2024) “On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures”, pp. 6309–6326. Available at: https://www.usenix.org/conference/usenixsecurity24/presentation/zhang-qingzhao (Accessed: September 13, 2024).