Mark L. Franz
University of Maryland, College Park
13 Papers
27 Citations
Mark L. Franz is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Engineering & Traffic flow. The author has an hindex of 4, co-authored 11 publications.
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Papers
Analysis of Washington, DC taxi demand using GPS and land-use data
TL;DR: In this paper, the authors investigated the correlation between demand for taxi, land use patterns, and accessibility to other modes using detailed GPS and GIS information collected from the Washington D.C. metropolitan area.
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Design and Evaluation of an Intelligent Dilemma-Zone Protection System for a High-Speed Rural Intersection
TL;DR: In this article, a dilemma-zone protection system that uses dynamic detection technology to track individual vehicles as they approach an intersection of interest is presented, where the sensors were used in real time to control the signal logic and provided green or all-red extensions when the predefined parameters of detected vehicles were met.
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Scalable Framework for Enhancing Raw GPS Trajectory Data: Application to Trip Analytics for Transportation Planning
Zachary Vander Laan,Mark L. Franz,Nikola Marković +2 more
- 01 Aug 2021
TL;DR: This paper presents a scalable approach for enhancing raw GPS trajectory data by snapping and routing waypoints along a user-defined target road network that may have discontinuities and missing links, thus enabling trajectory datasets to be used in conjunction with the types of non-routable road networks often employed by transportation agencies.
10
Enhancement of freeway incident traffic management and resulting benefits
Woon Kim,Mark L. Franz,Gang-Len Chang +2 more
- 01 Apr 2012
TL;DR: In this paper, the authors developed a multi-criteria decision-support system for determining the necessity of detour operations during incident management from an overall socio-economic benefit perspective.
Design and Evaluation of a Dynamic Dilemma Zone System for a High Speed Rural Intersection
Gang-Len Chang,Mark L. Franz,Yang Lu +2 more
- 01 Aug 2012
TL;DR: In this paper, a dilemma-zone protection system was designed using three microwave sensors to track vehicles approaching the intersection on the major approach and the data collected by these sensors were then used in real-time to control the signal logic, providing green extensions and all-red extensions when pre-defined parameters of detected vehicles are met.
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