published journal article
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published journal article
Trucking industry preferences for traveler information for drivers using wireless Internet-enabled devices
Transportation Research Part C: Emerging Technologies
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Author(s)
Abstract
This study investigates what type of information truck drivers would want to have if they could use Internet-enabled wireless devices to access traveler information. Preferences from managers of 700 for-hire trucking companies and private trucking fleets were analyzed to determine how they valued information about such things as locations of freeway incidents and lane closures, port and rail terminal schedules and clearances, delays at terminals, train arrivals at grade crossings, weather, and travel times on alternative routes. Using a factor-analytic model with regressor variables, the authors found that perceptions of the value of specific sources of traffic information are related to the operating characteristics of the trucking companies.
Suggested Citation
Thomas F. Golob and Amelia C. Regan (2005) “Trucking industry preferences for traveler information for drivers using wireless Internet-enabled devices”, Transportation Research Part C: Emerging Technologies, 13(3), pp. 235–250. Available at: 10.1016/j.trc.2004.08.002.working paper
Estimating the Full Economic Costs of Truck Incidents on Urban Freeways
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Author(s)
Working Paper
Abstract
This study uses Los Angeles County as the setting for examining the full economic costs of truck-related freeway incidents. Los Angeles County was selected as a setting due to its size–over 7.5 million population in an area of 4,080 square miles, the highly developed nature of its freeway system (504 miles of freeway), the heavy truck traffic on that system (over 12 million truck miles of travel per day), and the availability of data to facilitate analysis of this problem. Another reason for using Los Angeles as the site for this study is that truck-related incidents are a significant and growing problem on the Los Angeles freeway system, one which the California Department of Transportation is also examining. The majority of major incidents on the Los Angeles freeway system involve one or more trucks. During 1983, 1984, and 1985, 424 major incidents–defined as an incident which closes at least two lanes and is predicted to last at least two hours–involving trucks occurred on the freeway system. In other words, a major truck-related incident occurred nearly three out of every five working days of the week. Moreover, data collected for this study indicates that 6,700 to 8,000 total truck incidents occur annually on the Los Angeles County freeway system, or approximately 20 to 25 truck incidents per weekday. The scope of the problem in Los Angeles makes it an excellent setting for analyzing the costs of truck-related freeway incidents.
Suggested Citation
Roger F. Teal (1988) Estimating the Full Economic Costs of Truck Incidents on Urban Freeways. Working Paper UCI-ITS-WP-88-11. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/8vt3q1m7.conference paper
Open doors for bob and mallory: Open port usage in android apps and security implications
2017 IEEE european symposium on security and privacy (EuroS&P)
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Author(s)
Suggested Citation
Yunhan Jack Jia, Qi Alfred Chen, Yikai Lin, Chao Kong and Z. Morley Mao (2017) “Open doors for bob and mallory: Open port usage in android apps and security implications”, in 2017 IEEE european symposium on security and privacy (EuroS&P). IEEE, pp. 190–203. Available at: 10.1109/eurosp.2017.44.published journal article
Autonomous or driver-less vehicles: Implementation strategies and operational concerns
Transportation Research Part E: Logistics and Transportation Review
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Author(s)
Suggested Citation
Neda Masoud and R. Jayakrishnan (2017) “Autonomous or driver-less vehicles: Implementation strategies and operational concerns”, Transportation Research Part E: Logistics and Transportation Review, 108, pp. 179–194. Available at: 10.1016/j.tre.2017.10.011.published journal article
Fiscal federalism and economic growth
Journal of Public Economics
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Abstract
This paper uses an endogenous-growth model with overlapping generations to explore the connection between fiscal federalism and economic growth. The analysis shows that federalism, which allows public-good levels to be tailored to suit the differing demands of young and old consumers, who live in different jurisdictions, increases the incentive to save. This stronger incentive in turn leads to an increase in investment in human capital, and a byproduct of this higher investment is faster economic growth. (c) 2006 Elsevier B.V. All rights reserved.
Suggested Citation
Jan K. Brueckner (2006) “Fiscal federalism and economic growth”, Journal of Public Economics, 90(10-11), pp. 2107–2120. Available at: 10.1016/j.jpubeco.2006.05.003.conference paper
WIP: End-to-End Analysis of Adversarial Attacks to Automated Lane Centering Systems
Workshop on Automotive and Autonomous Vehicle Security (AutoSec'21)
Publication Date
Author(s)
Suggested Citation
Hengyi Liang, Ruochen Jiao, Takami Sato, Junjie Shen, Qi Alfred Chen and Qi Zhu (2021) “WIP: End-to-End Analysis of Adversarial Attacks to Automated Lane Centering Systems”, in Workshop on Automotive and Autonomous Vehicle Security (AutoSec'21). Available at: https://par.nsf.gov/biblio/10289738-wip-end-end-analysis-adversarial-attacks-automated-lane-centering-systems (Accessed: October 11, 2023).conference paper
Quadratic Programming Method for Vehicle Trajectory Imputation Using Fixed and Mobile Sensor Data
Transportation Research Board 103rd Annual Meeting
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Author(s)
Suggested Citation
Ximeng Fan, Xuting Wang and Wen-Long Jin (2024) “Quadratic Programming Method for Vehicle Trajectory Imputation Using Fixed and Mobile Sensor Data”. Transportation Research Board 103rd Annual Meeting.other
Safely scheduling offloading of computing tasks for an autonomous vehicle
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Abstract
A local computing device of a vehicle receives a stream of sensor data from one or sensors of the vehicle. If a remote computing device is estimated to process the stream of sensor data and provide driving instructions within a maximum acceptable wait time, then the local computing device sends a request to the remote computing device to process the stream of sensor data and provide driving instructions. If the processing is estimated to meet or exceed the maximum acceptable wait time, then the local computing device uses a locally executed neural network to determine driving instructions. The driving instructions received either from the remote computing or from the local neural network are sent to an autonomous driving system of the vehicle. Offloading processing the sensor data to the remote computing device may result in the local computing device consuming less energy.
Suggested Citation
Mohammad Abdullah Al Faruque, Yasser Shoukry Ahmed SAKR, Mohanad Mohamed Abdelmagid Abdelkhalek Odema and James Robert FERLEZ (2024) “Safely scheduling offloading of computing tasks for an autonomous vehicle”. Available at: https://patents.google.com/patent/US20240367678A1/en (Accessed: August 21, 2025).published journal article
Measuring the impact of efficient household travel decisions on potential travel time savings and accessibility gains
Transportation Research Part A: Policy and Practice
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Author(s)
Abstract
Using the conceptual framework of time-space geography, this paper incorporates both spatio-temporal constraints and household interaction effects into a meaningful measure of the potential of a household to interact with the built environment. Within this context, personal accessibility is described as a measure of the potential ability of individuals within a household not only to reach activity opportunities, but to do so with sufficient time available for participation in those activities, subject to the spatio-temporal constraints imposed by their daily obligations and transportation supply environment. The incorporation of activity-based concepts in the measurement of accessibility as a product of travel time savings not only explicitly acknowledges a temporal dimension in assessing the potential for spatial interaction but also expands the applicability of accessibility consideration to such real-world policy options as the promotion of ride-sharing and trip chaining behaviors. An empirical application of the model system provides an indication of the potential of activity-based modeling approaches to assess the bounds on achievable improvements in accessibility and travel time based on daily household activity patterns. It also provides an assessment of roles for trip chaining and ride-sharing as potentially effective methods to facilitate transportation policy objectives. (C) 2001 Elsevier Science Ltd. All rights reserved.