published journal article

California Transportation: Inventory and Prospects

California Management Review

Publication Date

January 1, 1984

Author(s)

Gordon (Pete) Fielding

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Abstract

California has a superb transportation system. The 171,000 miles of public access highways provide both feeder and arterial systems throughout the state and allow rail, air, and port facilities to operate more efficiently. Approximately 97 percent of the passenger miles and more than 80 percent of the ton-miles of freight are transported by autos, trucks, and buses using this highway system. But the system is aging. Many of the most heavily traveled routes have exceeded their 25 year “design life.” Surfaces are cracking and buckling, on ramps are too short for the larger trucks and buses, and use of off ramps is so far in excess of designed capacity that congestion backs up onto freewavs and arterial streets. Major renovations are required which will be costly and require the closing of facilities.

Suggested Citation

Gordon J. Fielding (1984) “California Transportation: Inventory and Prospects”, California Management Review, 26(2), pp. 100–111. Available at: 10.2307/41165070.

research report

Evaluation of automated workzone information system (AWIS) CHIPS (Computerized highway information processing system)

Publication Date

January 1, 2005

Author(s)

Lianyu Chu, Hamed Benouar, Will Recker

Suggested Citation

Lianyu Chu, Hamed Benouar and Wilfred W Recker (2005) Evaluation of automated workzone information system (AWIS) CHIPS (Computerized highway information processing system).

published journal article

Classification of Inter-Urban Highway Drivers’ Resting Behavior for Advanced Driver-Assistance System Technologies using Vehicle Trajectory Data from Car Navigation Systems

Sustainability

Publication Date

January 1, 2020

Author(s)

Jin Choi, Katherine Lee, Hyunmyung Kim, Sunghi (Sunny) An, Daisik (Danny) Nam

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Abstract

Fatigue-related crashes, which are mainly caused by drowsy or distracted driving, account for a significant portion of fatal accidents on highways. Smart vehicle technologies can address this issue of road safety to improve the sustainability of transportation systems. Advanced driver-assistance system (ADAS) can aid drowsy drivers by recommending and guiding them to rest locations. Past research shows a significant correlation between driving distance and driver fatigue, which has been actively studied in the analysis of resting behavior. Previous research efforts have mainly relied on survey methods at specific locations, such as rest areas or toll booths. However, such traditional methods, like field surveys, are expensive and often produce biased results, based on sample location and time. This research develops methods to better estimate travel resting behavior by utilizing a large-scale dataset obtained from car navigation systems, which contain 591,103 vehicle trajectories collected over a period of four months in 2014. We propose an algorithm to statistically categorize drivers according to driving distances and their number of rests. The main algorithm combines a statistical hypothesis test and a random sampling method based on the renowned Monte-Carlo simulation technique. We were able to verify that cumulative travel distance shares a significant relationship with one’s resting decisions. Furthermore, this research identifies the resting behavior pattern of drivers based upon their travel distances. Our methodology can be used by sustainable traffic safety operators to their driver guiding strategies criterion using their own data. Not only will our methodology be able to aid sustainable traffic safety operators in constructing their driver guidance strategies criterion using their own data, but it could also be implemented in actual car navigation systems as a mid-term solution. We expect that ADAS combined with the proposed algorithm will contribute to improving traffic safety and to assisting the sustainability of road systems.

Suggested Citation

Jaeheon Choi, Kyuil Lee, Hyunmyung Kim, Sunghi An and Daisik Nam (2020) “Classification of Inter-Urban Highway Drivers’ Resting Behavior for Advanced Driver-Assistance System Technologies using Vehicle Trajectory Data from Car Navigation Systems”, Sustainability, 12(15), p. 5936. Available at: 10.3390/su12155936.

conference paper

Distributed large-scale network modeling with paramics implementation

Proceedings. 2005 IEEE intelligent transportation systems, 2005.

Publication Date

January 1, 2005

Author(s)

Henry Liu, Wenteng Ma, R. (Jay) Jayakrishnan, Will Recker, Hx Liu, W Ma, R Jayakr-Ishnan, Will Recker

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Suggested Citation

Henry X Liu, Wenteng Ma, R Jayakrishnan, Will Recker, Hx Liu, W Ma, R Jayakr-Ishnan and W Recker (2005) “Distributed large-scale network modeling with paramics implementation”, in Proceedings. 2005 IEEE intelligent transportation systems, 2005.. IEEE / Citeseer. Available at: 10.1109/itsc.2005.1520053.

published journal article

Use of historical mapping to understand sources of soil-lead contamination: Case study of Santa Ana, CA

Environmental Research

Publication Date

September 1, 2022

Author(s)

Juan Manuel Rubio, Shahir Masri, Ivy R. Torres, Yi Sun, Keila Villegas, Patricia Flores, Michael D. Logue, Abigail Reyes, Alana M. W. LeBrón, Jun Wu

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Abstract

This paper investigates the historical sources of soil-lead contamination in Santa Ana, California. Even though dangerous levels of soil-lead have been found in a wide variety of communities across the United States, public health institutions lack clarity on the historical origins of these crises. This study uses geo-spatial data collected through archival research to estimate the impact of two potential sources of lead contamination in the past — lead-paint and leaded gasoline. It examines, through a combination of statistical and historical methods, the association between lead concentrations in contemporary soil samples and patterns in the evolution of the city’s physical features, such as the growth of urbanized areas and the historical flow of traffic. We emphasize the value of historical data collected through archival research for understanding the sources of environmental lead, particularly leaded gasoline, which our study found to be the most likely and most prominent contributor to soil-lead in Santa Ana’s environment. This research contributes to environmental-justice advocacy efforts to reframe lead poisoning as a systemic environmental issue and outlines the path forward to community-level remediation strategies.

Suggested Citation

Juan Manuel Rubio, Shahir Masri, Ivy R. Torres, Yi Sun, Keila Villegas, Patricia Flores, Michael D. Logue, Abigail Reyes, Alana M. W. LeBrón and Jun Wu (2022) “Use of historical mapping to understand sources of soil-lead contamination: Case study of Santa Ana, CA”, Environmental Research, 212, p. 113478. Available at: 10.1016/j.envres.2022.113478.

published journal article

Advances in dynamic traffic assgmnt: Tac. A New Relationship Between Wardrop's User Equilibrium and Nash Equilibrium

Networks and spatial economics

Publication Date

July 1, 2014

Author(s)

Wenlong Jin

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Suggested Citation

Wen-Long Jin (2014) “Advances in dynamic traffic assgmnt: Tac. A New Relationship Between Wardrop's User Equilibrium and Nash Equilibrium”, Networks and spatial economics, 15(3), pp. 617–634. Available at: 10.1007/s11067-014-9250-x.

conference paper

GPS Spoofing Attack Detection on Intersection Movement Assist using One-Class Classification

ISOC Symposium on Vehicle Security and Privacy (VehicleSec)

Publication Date

January 1, 2023

Author(s)

Jun Ying, Yiheng Feng, Qi Alfred Chen, Z. Mao

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Abstract

Intersection movement assist (IMA) is a connected vehicle (CV) application to improve vehicle safety. GPS spoofing attack is one major threat to the IMA application since inaccurate localization results may generate fake warnings that increase rear-end crashes, or cancel real warnings that may lead to angle or swipe crashes. In this work, we first develop a GPS spoofing attack model to trigger the IMA warning of entry vehicles at a roundabout driving scenario. The attack model can generate realistic trajectories while achieving the attack goal. To defend against such attacks, we further design a one-class classifier to distinguish the normal vehicle trajectories from the trajectories under attack. The proposed model is validated with a real-world data set collected from Ann Arbor, Michigan. Results show that although the attack model triggers the IMA warning in a short time (i.e., in a few seconds), the detection model can still identify the abnormal trajectories before the attack succeeds with low false positive and false negative rates.

Suggested Citation

Jun Ying, Yiheng Feng, Qi Alfred Chen and Z. Mao (2023) “GPS Spoofing Attack Detection on Intersection Movement Assist using One-Class Classification”, in ISOC Symposium on Vehicle Security and Privacy (VehicleSec). Available at: https://par.nsf.gov/biblio/10427121-gps-spoofing-attack-detection-intersection-movement-assist-using-one-class-classification (Accessed: September 13, 2024).

published journal article

NATIONAL STUDIES OF URBAN ARTERIAL TRANSPORTATION. A RESEARCH FRAMEWORK

Transportation Research Record

Publication Date

January 1, 1973

Author(s)

Thomas Golob, Eugene T. Canty, Richard L. Gustafson

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Suggested Citation

Thomas F. Golob, Eugene T. Canty and Richard L. Gustafson (1973) “NATIONAL STUDIES OF URBAN ARTERIAL TRANSPORTATION. A RESEARCH FRAMEWORK”, Transportation Research Record [Preprint], (724). Available at: https://onlinepubs.trb.org/Onlinepubs/hrr/1973/427/427-004.pdf.

conference paper

3d adversarial object against msf-based perception in autonomous driving

Proceedings of the 3rd Conference on Machine Learning and Systems

Publication Date

January 1, 2020

Author(s)

Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li

View conference paper

Suggested Citation

Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu and Bo Li (2020) “3d adversarial object against msf-based perception in autonomous driving”, in Proceedings of the 3rd Conference on Machine Learning and Systems. Available at: https://me.ningfei.org/paper/MLsys_demo.pdf (Accessed: October 11, 2023).

published journal article

E-shopping changes and the state of E-grocery shopping in the US - Evidence from national travel and time use surveys

Research in Transportation Economics

Publication Date

June 1, 2021

Author(s)

Jean-Daniel Saphores, Lu Xu

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Abstract

In spite of the popularity of e-shopping, only 16% of US adults have ordered groceries online, and 7 out of 10 of those who currently buy groceries online do so at most twice a month. Understanding the determinants of e-grocery shopping is important for grocers, supply chain managers, and urban planners. In this context, we first explore how deliveries from online shopping have been changing over time. From our analysis of the 2009 and 2017 National Household Travel Surveys, we found that online shopping has been embraced by increasingly diverse households, although income, education, and some racial/ethnic differences persist. Our analysis of the 2017 American Time Use Survey shows that Americans are 24 times more likely to shop for groceries in stores than online. Moreover, in-store grocery shoppers are more likely to be female and unemployed, but less likely to belong to younger generations, to have less than a college degree, or to be African American. The gender imbalance in grocery shopping is larger online than in stores, but e-grocery shoppers do not otherwise differ from the general population. Future travel and e-shopping surveys (especially for e-grocery) should combine time use and travel questions with retrospective questions about online purchases.

Suggested Citation

Jean-Daniel Saphores and Lu Xu (2021) “E-shopping changes and the state of E-grocery shopping in the US - Evidence from national travel and time use surveys”, Research in Transportation Economics, 87, p. 100864. Available at: 10.1016/j.retrec.2020.100864.