published journal article
Area of Expertise: Unspecified
conference paper
Assessing the environmental and health impacts of port-related freight movement in a major urban transportation corridor
Proceedings of the 89th annual meeting of the transportation research board
Publication Date
Abstract
The San Pedro Bay Ports (SPBP) complex of Los Angeles and Long Beach is the largest container port in the U.S., and a very important contributor to both California’s and the nation’s economies. Although the benefits of the SPBP activities are enjoyed by the whole country, the burden of the congestion and air pollution it generates falls mostly on the shoulders of people who live and work in the transportation corridor serving the SPBP. This corridor includes two busy freeways, the I-710 and the I-110, and a busy rail link, the Alameda corridor. The objective of this paper is to explore an integrated approach for evaluating the environmental and health impacts of freight operations between the SPBP complex and downtown Los Angeles, some 22 miles north. The authors integrated approach combines a number of models, including a microscopic traffic simulation model and an emissions model to better estimate the impacts of congestion on air pollution, emission estimates from line-haul and switching train activities, a spatial dispersion model, and a health impact model. We analyze emissions for year 2005, which serves as a baseline in various air pollution inventories of the SPBP complex. The results show that emissions concentrations are strongly affected by meteorological conditions and seasonal variations (winter is worse than summer); moreover, we found that health impacts from NOx and PM exposure exceed 200 million dollars, which justifies a number of regional initiatives to improve air quality. The analysis is a starting point for analyzing the economic efficiency of these initiatives, which include modal shift (from trucks to trains) and the Clean Trucks Program.
Suggested Citation
Gunwoo Lee, Mana Sangkapichai, Stephen G. Ritchie, Jean-Daniel Saphores, Oladele Ogunseitan, Roberto Ayala, R. Jayakrishnan and Rodolfo Torres (2010) “Assessing the environmental and health impacts of port-related freight movement in a major urban transportation corridor”, in Proceedings of the 89th annual meeting of the transportation research board, p. 15p.published journal article
Security of emergent automotive systems: A tutorial introduction and perspectives on practice
IEEE Design & Test
Publication Date
Author(s)
Suggested Citation
Anthony Lopez, Arnav Vaibhav Malawade, Mohammad Abdullah Al Faruque, Srivalli Boddupalli and Sandip Ray (2019) “Security of emergent automotive systems: A tutorial introduction and perspectives on practice”, IEEE Design & Test, 36(6), pp. 10–38. Available at: 10.1109/mdat.2019.2944086.published journal article
A dense background representation method for traffic surveillance based on roadside LiDAR
Optics and Lasers in Engineering
Publication Date
Author(s)
Suggested Citation
Yingji Xia, Zhe Sun, Andre Tok and Stephen Ritchie (2022) “A dense background representation method for traffic surveillance based on roadside LiDAR”, Optics and Lasers in Engineering, 152, p. 106982. Available at: 10.1016/j.optlaseng.2022.106982.conference paper
Gender differences in travel patterns of the elderly in the united states
Proceedings of the 99th annual meeting of the transportation research board
Publication Date
Author(s)
Suggested Citation
Suman Mitra, Mingqi Yao and Stephen Ritchie (2020) “Gender differences in travel patterns of the elderly in the united states”, in Proceedings of the 99th annual meeting of the transportation research board.conference paper
Assessing the Employment Accessibility Benefits of Shared Automated Vehicle Mobility Services in Southern California
100th Transportation Research Board (TRB) Annual Meeting
Publication Date
Author(s)
Suggested Citation
Tanjeeb Ahmed, Michael F. Hyland, Suman Kumar Mitra and Arash Ghaffar (2021) “Assessing the Employment Accessibility Benefits of Shared Automated Vehicle Mobility Services in Southern California”. Washington, DC.conference paper
Better distinction of vehicle types through the correction of acceleration-distorted inductive signatures in arterial traffic
Proceedings 2nd international symposium on freeway and tollway operations, honolulu
Publication Date
Author(s)
Suggested Citation
Y. Tok and S.G. Ritchie (2009) “Better distinction of vehicle types through the correction of acceleration-distorted inductive signatures in arterial traffic”, in Proceedings 2nd international symposium on freeway and tollway operations, honolulu.published journal article
Side channels of cyber-physical systems: Case study in additive manufacturing
IEEE Design & Test
Publication Date
Author(s)
Suggested Citation
Sujit Rokka Chhetri and Mohammad Abdullah Al Faruque (2017) “Side channels of cyber-physical systems: Case study in additive manufacturing”, IEEE Design & Test, 34(4), pp. 18–25. Available at: 10.1109/mdat.2017.2682225.book/book chapter
Hall Sensor Security, The
Publication Date
Author(s)
Abstract
‘Hall Sensor Security, The’ published in ‘Encyclopedia of Cryptography, Security and Privacy’
Suggested Citation
Anomadarshi Barua and Mohammad Abdullah Al Faruque (2025) “Hall Sensor Security, The”, in Encyclopedia of Cryptography, Security and Privacy. Springer, Cham, pp. 1051–1055. Available at: 10.1007/978-3-030-71522-9_1652.conference paper
Lateral-Direction Localization Attack in High-Level Autonomous Driving: Domain-Specific Defense Opportunity via Lane Detection
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Publication Date
Author(s)
Abstract
Localization in high-level Autonomous Driving (AD) systems is highly security critical. Recently, researchers found that state-of-the-art Multi-Sensor Fusion (MSF) based localization is vulnerable to GPS spoofing, which can cause road hazards such as driving off road or onto the wrong way. In this work, we perform the first exploration of using Lane Detection (LD) to detect and correct deviations caused by such attacks and design a novel LD-based system-level defense, LD3. We evaluate LD3 on real-world sensor traces and find that it can achieve effective and timely detection against the state-of-the-art attack with 100% true positive rates and 0% false positive rates. Results show that LD3 can be highly effective at steering the AD vehicle to safely stop within the current traffic lane. We implement LD3 on 2 open-source AD systems and validate its end-to-end defense capability using an industry-grade AD simulator and also in the physical world with a real vehicle-sized AD R&D vehicle.