published journal article
Navigation with cellular CDMA Signals—Part II: Performance analysis and experimental results
IEEE Transactions on Signal Processing
Publication Date
April 1, 2018
Archives: Research Products
published journal article
PROCEDURE FOR ESTIMATING NATIONAL MARKET AND TOTAL SOCIOECONOMIC IMPACTS OF NEW SYSTEMS OF URBAN TRANSPORTATION
Transportation Research Record
Publication Date
January 1, 1972
Author(s)
Eugene T. Canty, Thomas Golob
Abstract
This paper presents a general procedure for determining the potential national market and total socioeconomic and environmental impacts for an urban transportation system concept that can be considered for implementation in a large number of urban areas. The procedure involves the following closely interrelated steps: (a) statistical classification of all metropolitan areas into relatively homogeneous groups on the basis of their transportation requirements; (b) selection of the most representative area in each group; (c) performance of analytical case studies in each representative area in order to synthesize the optimal system design for that area and evaluate the impacts on user and nonuser population stratifications; (d) statistical analyses of the differences among areas within the same group; (e) performance of sensitivity analyses of each case study guided by these difference analyses; (f) extensions of the results of the case studies to the other areas in each group through the use of the sensitivity and difference analyses; and (g) aggregation of the market estimates for all metropolitan areas and of the total impacts for the country as a whole by user and nonuser population stratifications. Specific methods are given for many of the steps in the procedure, and guidelines are presented for some of the more traditional planning tasks such as case study analyses
Suggested Citation
Eugene T. Canty and Thomas F. Golob (1972) “PROCEDURE FOR ESTIMATING NATIONAL MARKET AND TOTAL SOCIOECONOMIC IMPACTS OF NEW SYSTEMS OF URBAN TRANSPORTATION”, Transportation Research Record [Preprint], (399). published journal article
Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem
Transportation Research Part B: Methodological
Publication Date
March 1, 2012
Author(s)
Suggested Citation
Joseph Y.J. Chow and Will W. Recker (2012) “Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem”, Transportation Research Part B: Methodological, 46(3), pp. 463–479. Available at: 10.1016/j.trb.2011.11.005.
conference paper
A geospatial data fusion framework to quantify variations in electric vehicle charging demand
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities
Publication Date
November 18, 2021
Author(s)
Abstract
Electric vehicles (EV) are an emerging mode of transportation, and big cities in the United States have witnessed an ever-growing demand for EV usage. The primary benefit of EVs is the high fuel efficiency by using only electricity, and hence lowers the dependency on fossil fuels and significantly reduces greenhouse gas emissions. Although the number of EVs has increased, the availability of EV charging stations for public use has been disproportionate to its demand. More recently, populations residing in the Southern California region have been faced with challenges such as range anxiety owing to the uneven spatial distribution of charging stations throughout the region. As the EV population continues to expand, identifying hotspots of EV charging and barriers to the equitable access of charging stations have gained much importance. Our study uses a geospatial data fusion approach with spatial statistics to combine EV charging station data, land use information, and American Community Survey (ACS) data at the census block group level in Orange County, California to discover optimal locations to broaden the EV charging network and identify potential equity issues surrounding charging station placements.
Suggested Citation
Mankin Law and Avipsa Roy (2021) “A geospatial data fusion framework to quantify variations in electric vehicle charging demand”, in Proceedings of the 4th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities. New York, NY, USA: Association for Computing Machinery (ARIC '21), pp. 23–26. Available at: 10.1145/3486626.3493429. conference paper
Estimating commute time and distance for human subjects in air pollution epidemiological studies
Proceedings of the conference of the international society of exposure assessment, seoul, korea
Publication Date
August 1, 2010
Author(s)
Suggested Citation
J. Wu and D. Houston (2010) “Estimating commute time and distance for human subjects in air pollution epidemiological studies”, in Proceedings of the conference of the international society of exposure assessment, seoul, korea. working paper
Estimating the Full Economic Costs of Truck Incidents on Urban Freeways
Publication Date
November 1, 1988
Author(s)
Working Paper
UCI-ITS-WP-88-11
Areas of Expertise
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
Advancing Gross Vehicle Weight Rating Classification Through the Integration of Inductive Loop and Side Fire Camera System
Proceedings, 104th Annual Meeting of the Transportation Research Board
Publication Date
January 1, 2025
Author(s)
Abstract
Gross Vehicle Weight Rating (GVWR)-based vehicle activity data is widely used in freight planning, fuel efficiency evaluation, and on-road emission estimation. However, a vehicle’s GVWR remains challenging to obtain using existing highway sensor infrastructure. This paper describes a novel approach to acquire GVWR-based classification data through the fusion of two complementary infrastructure-based sensing technologies: inductive loop sensors and side-fire video cameras. While inductive loops are widely deployed in the U.S., they only provide single-dimensional data with limited information. Side-fire cameras can offer richer details to enhance vehicle classification. Accordingly, an open-source intelligence (OSINT) method was used to establish a GVWR-based vehicle dictionary, linking vehicle specifications from online data sources to GVWR classes. A dataset comprising 9,154 vehicle inductive loop signatures paired with images was then collected and annotated according to the pre-defined dictionary. Next, signature-based and image-based classification models were developed for GVWR classification. Each model was designed to function independently. A signature-based GVWR classification model was trained with a multi-layer perceptron (MLP) neural net architecture and optimized through the implementation of a weighted cross-entropy loss function. A two-stage image-based GVWR classification framework was designed to extract vehicle objects and classify them based on the GVWR scheme. Finally, a linear fusion model was implemented to combine the output of the signature- and image-based models to achieve an improvement over each standalone classification model. The sensor fusion framework significantly outperformed each individual sensing technology, achieving an average correct classification rate of 0.97 and an score of 0.96, which surpasses state-of-the-art methods.
Suggested Citation
Guoliang Feng, Yiqiao Li, Andre Tok and Stephen G. Ritchie (2025) “Advancing Gross Vehicle Weight Rating Classification Through the Integration of Inductive Loop and Side Fire Camera System”, in Proceedings, 104th Annual Meeting of the Transportation Research Board. Washington, D.C.. published journal article
The role of renter burden and affordable units at risk in city-level housing inadequacy
Cities
Publication Date
October 1, 2025
Author(s)
John R. Hipp, Brendan S. Poon, Jae Hong Kim
Abstract
While substantial research has studied the effects of government-assisted provision of affordable housing units, little is known about the challenges that arise when the stock of affordable units is increasingly at risk due to the approaching expiration of their low-cost status. This study provides an empirical investigation of how city-level at-risk affordable units, as well as median rent and rent burden, relate to housing inadequacy using data for all cities with population greater than 5000 in the U.S. The results indicate a direct positive relationship between rent burden (relative to income) and housing inadequacy in multilevel models accounting for the county context of these cities. This positive relationship is strongest in counties with large population or high average income. Cities with higher (nominal) median rent have less housing inadequacy, particularly in counties with larger populations. Finally, the presence of more affordable units, as well as more at-risk affordable units, is associated with greater housing inadequacy, calling for more attention not only to the expansion of these units but also to the ways affordable housing stock is managed and preserved. Our findings indicate the importance of policies to reduce both rent burdens and the presence of at-risk units, such as proactive renewal of affordability covenants. Moreover, our findings highlight the need for additional research that addresses how renters and developers respond to incentives created by affordable housing dynamics.
Suggested Citation
John R. Hipp, Brendan S. Poon and Jae Hong Kim (2025) “The role of renter burden and affordable units at risk in city-level housing inadequacy”, Cities, 165, p. 106086. Available at: 10.1016/j.cities.2025.106086. conference paper
Performance studies of a network adaptive traffic control algorithm via simulation model
ITSC 2001. 2001 IEEE intelligent transportation systems. Proceedings (cat. No.01TH8585)
Publication Date
January 1, 2001
Author(s)
Suggested Citation
Wann-Ming Wey and R. Jayakrishnan (2001) “Performance studies of a network adaptive traffic control algorithm via simulation model”, in ITSC 2001. 2001 IEEE intelligent transportation systems. Proceedings (cat. No.01TH8585). IEEE, pp. 663–668. Available at: 10.1109/itsc.2001.948739. conference paper
Using mesoscopic traffic simulation in a seismic risk analysis framework applied to a downtown Los Angeles network
Proceedings of the 89th annual meeting of the transportation research board
Publication Date
January 1, 2010
Author(s)
Abstract
Previous efforts to quantify and estimate the effect of seismic disruptions on the performance of the transportation network have relied on traditional trip-based static traffic assignment methods to estimate and compare network flows under base and damaged cases. Such static assignments with the well-known problem of unrealistically high volume/capacity ratios on congested links, are questionable for predicting the post-earthquake peak-period travel times when links are disabled. This paper introduces the use of mesoscopic traffic simulation in a seismic risk analysis (SRA) framework. This study assesses seismic risk in terms of potential travel time increases in a study area incorporating the site of the Downtown Los Angeles bridge failures during the 1994 Northridge earthquake. This study successfully obtained system risk curves of network-wide travel time increases, and also took advantage of vehicle trajectory output to obtain risk curves of travel time increases for specific origin-destination (OD) pairs.