A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Analyzing intra-metropolitan variation in highway traffic performance in Los Angeles using archived real-time data
We conduct a case study of highway system performance in Los Angeles County. We use the Los Angeles Archived Data Management System, a comprehensive archive of regional real-time multi-modal transportation system data, to analyze effects of systematic, functional, random, and land use factors on performance variation over different time periods of the day. To understand functional class effects, we use cluster analysis on geometric and demand parameters to identify functionally similar groups of highway segments. We compare performance between groups and across segments within groups. We perform regression analysis to test the influence of various factors on performance. We find that after controlling for time of day, accidents, and adjacent population density, group or peer effects have significant influence. This suggests that peer group level, as opposed to regional, performance measurement and monitoring is useful. Our research has significant implications for transportation system monitoring and planning.
Analyzing intra-metropolitan variation in highway traffic performance in Los Angeles using archived real-time data
We conduct a case study of highway system performance in Los Angeles County. We use the Los Angeles Archived Data Management System, a comprehensive archive of regional real-time multi-modal transportation system data, to analyze effects of systematic, functional, random, and land use factors on performance variation over different time periods of the day. To understand functional class effects, we use cluster analysis on geometric and demand parameters to identify functionally similar groups of highway segments. We compare performance between groups and across segments within groups. We perform regression analysis to test the influence of various factors on performance. We find that after controlling for time of day, accidents, and adjacent population density, group or peer effects have significant influence. This suggests that peer group level, as opposed to regional, performance measurement and monitoring is useful. Our research has significant implications for transportation system monitoring and planning.
Analyzing intra-metropolitan variation in highway traffic performance in Los Angeles using archived real-time data
Giuliano, Genevieve (author) / Chakrabarti, Sandip (author)
Transportation Planning and Technology ; 43 ; 751-770
2020-11-16
20 pages
Article (Journal)
Electronic Resource
Unknown
Traffic survey Los Angeles metropolitan area 1937
Engineering Index Backfile | 1937
Traffic survey Los Angeles metropolitan area 1937
Engineering Index Backfile | 1937
Measuring Variability in Traffic Conditions by Using Archived Traffic Data
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| Engineering Index Backfile | 1946
Generating Transit Performance Measures with Archived Data
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