conference paper
Archives: Research Products
conference paper
Organizational Decision-making Processes of Alternative Fuel Adoption: An Empirical Study with Heavy-duty Vehicle Fleets in California
100th Transportation Research Board (TRB) Annual Meeting
Publication Date
Author(s)
Suggested Citation
Youngeun Bae and Craig R Rindt (2021) “Organizational Decision-making Processes of Alternative Fuel Adoption: An Empirical Study with Heavy-duty Vehicle Fleets in California”. 100th Transportation Research Board (TRB) Annual Meeting, Washington, DC.Phd Dissertation
Physical layer key generation for wireless communication security in automotive cyber-physical systems
Publication Date
Author(s)
Areas of Expertise
Abstract
Modern automotive Cyber-Physical Systems (CPS) are increasingly adopting a variety of wireless communications (Radio Frequency and Visible Light) as a promising solution for challenges such as the wire harnessing problem, collision detection and avoidance, traffic control, and environmental hazards. Regrettably, this new trend results in security challenges that can put the safety and privacy of the automotive CPS and passengers at great risk. Further, automotive wireless communication security is constrained by strict energy and performance limitations of electronic controller units and sensors. As a result, the key generation and management for secure automotive wireless communication is an open research challenge. This thesis aims to help solve these security challenges with a novel key management scheme built upon a physical layer key generation technique that exploits the reciprocity and high spatial and temporal variation properties of the automotive wireless communication channel. A key length optimization algorithm is also developed to help improve performance (in terms of time and energy) for safety-related applications. Channel models, simulations and real-world experiments with vehicles and remote-controlled cars were performed to validate the practicality and effectiveness of the scheme. Lastly, it is shown that generated keys may have high security strength (67% min-entropy for the Radio Frequency domain and high randomness according to NIST tests for the Visible Light domain) and that code size overhead is 20 times less than state-of-the-art security techniques.
Suggested Citation
ANTHONY LOPEZ (2020) Physical layer key generation for wireless communication security in automotive cyber-physical systems. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/1gpb62p/alma991034991438504701.MS Thesis
Investigation and implementation of a gradient projection algorithm for the traffic assignment problem
Publication Date
Author(s)
Suggested Citation
Subodh Sudhir. Rajadhyaksha (1994) Investigation and implementation of a gradient projection algorithm for the traffic assignment problem. MS Thesis. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991034343319704701.published journal article
A structural model of temporal change in multi-modal travel demand
Transportation Research Part A: General
Publication Date
Author(s)
Suggested Citation
Thomas F. Golob and Henk Meurs (1987) “A structural model of temporal change in multi-modal travel demand”, Transportation Research Part A: General, 21(6), pp. 391–400. Available at: 10.1016/0191-2607(87)90028-8.published journal article
Confidentiality breach through acoustic side-channel in cyber-physical additive manufacturing systems
ACM Trans. Cyber-Phys. Syst.
Publication Date
Author(s)
Suggested Citation
Sujit Rokka Chhetri, Arquimedes Canedo and Mohammad Abdullah Al Faruque (2018) “Confidentiality breach through acoustic side-channel in cyber-physical additive manufacturing systems”, ACM Trans. Cyber-Phys. Syst., 2(1), pp. 1–25. Available at: 10.1145/3078622.conference paper
Commercial vehicle classification using vehicle signature data
Proceedings of the 88th annual meeting of the transportation research board (DVD), washington D.C.
Publication Date
Suggested Citation
H. Liu, S. Jeng, A. Tok and S.G. Ritchie (2009) “Commercial vehicle classification using vehicle signature data”, in Proceedings of the 88th annual meeting of the transportation research board (DVD), washington D.C.. Available at: https://escholarship.org/uc/item/3bc653j7.published journal article
Daily activity pattern recognition by using support vector machines with multiple classes
Transportation Research Part B: Methodological
Publication Date
Author(s)
Suggested Citation
Mahdieh Allahviranloo and Will Recker (2013) “Daily activity pattern recognition by using support vector machines with multiple classes”, Transportation Research Part B: Methodological, 58, pp. 16–43. Available at: 10.1016/j.trb.2013.09.008.published journal article
Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project
Transportation Research Part A: Policy and Practice
Publication Date
Author(s)
Abstract
A study was conducted to determine how demand for clean-fuel vehicles and their fuels is likely to vary as a function of attributes that distinguish these vehicles from conventional gasoline vehicles. For the purposes of the study, clean-fuel vehicles are defined to encompass both electric vehicles and unspecified (methanol, ethanol, compressed natural gas or propane) liquid and gaseous fuel vehicles, in both dedicated or multiple-fuel versions. The attributes include vehicle purchase price, fuel operating cost, vehicle range between refueling, availability of fuel, dedicated versus multiple-fuel capability and the level of reduction in emissions (compared to current vehicles). In a mail-back stated preference survey, approximately 700 respondents in the California South Coast Air Basin gave their choices among sets of hypothetical future vehicles, as well as their choices between alternative fuel versus gasoline for hypothetical multiple-fuel vehicles. Estimates of attribute importance and segment differences are made using discrete-choice nested multinomial logit models for vehicle choice and binomial logit models for fuel choice. These estimates can be used to modify present vehicle-type choice and utilization models to accommodate clean-fuel vehicles; they can also be used to evaluate scenarios for alternative clean-fuel vehicle and fuel supply configurations. Results indicate that range between refueling is an important attribute, particularly if range for an alternative fuel is substantially less than that for gasoline. For fuel choice, the most important attributes are range and fuel cost, but the predicted probability of choosing alternative fuel is also affected by emissions levels, which can compensate for differences in fuel prices.
Suggested Citation
David S. Bunch, Mark Bradley, Thomas F. Golob, Ryuichi Kitamura and Gareth P. Occhiuzzo (1993) “Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project”, Transportation Research Part A: Policy and Practice, 27(3), pp. 237–253. Available at: 10.1016/0965-8564(93)90062-p.working paper
Electronic Integration in the Air Cargo Industry: An Information Processing Model of On-Time Performance
Publication Date
Author(s)
Areas of Expertise
Abstract
This study examines electronic integration in logistics supply chains using the non-integrated US-international air cargo industry as a case study. We ask what impact electronic integration has on interorganizational task performance, and hypothesize about factors limiting the effectiveness of electronic integration. Surprisingly, our study does not find evidence of direct impacts of electronic integration on performance though it does find evidence of indirect impacts of information systems use and performance. The findings suggest that the use of electronic integration as a strategy to improve operational performance across firms is limited by the nature of the interorganizational task, environmental dynamism, and the power relationship between firms in the supply chain.