A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Time Series Analysis and Models of Freeway Performance
This paper describes a study whose primary purpose is to better understand the relationship between freeway traffic flow and speed. Incidents of recurrent and nonrecurrent congestion were encountered at six radar collection northbound locations on New Hampshire interstate I-93 in July 2010. The root cause for the onset of the recurrent congestion is explained with exploratory data analyses and a time series modeling approach. A complex combination of present and past values of traffic flow, speed, and congestion state, a congestion history of lingering effect variables, can explain the triggering and mitigation of congestion events for a highly volatile traffic environment. The approach includes two mathematical models: (1) a generalized additive binomial model to forecast the probability of congestion and (2) state-space models of speed and flow. The state-space models use a dynamic linear model (DLM) with switching structures to describe the bimodal distribution of speed and flow in the free-flow and congested states. Model selection, parameter estimation and checking are presented.
Time Series Analysis and Models of Freeway Performance
This paper describes a study whose primary purpose is to better understand the relationship between freeway traffic flow and speed. Incidents of recurrent and nonrecurrent congestion were encountered at six radar collection northbound locations on New Hampshire interstate I-93 in July 2010. The root cause for the onset of the recurrent congestion is explained with exploratory data analyses and a time series modeling approach. A complex combination of present and past values of traffic flow, speed, and congestion state, a congestion history of lingering effect variables, can explain the triggering and mitigation of congestion events for a highly volatile traffic environment. The approach includes two mathematical models: (1) a generalized additive binomial model to forecast the probability of congestion and (2) state-space models of speed and flow. The state-space models use a dynamic linear model (DLM) with switching structures to describe the bimodal distribution of speed and flow in the free-flow and congested states. Model selection, parameter estimation and checking are presented.
Time Series Analysis and Models of Freeway Performance
Ossenbruggen, Paul J. (author) / Laflamme, Eric M. (author)
Journal of Transportation Engineering ; 138 ; 1030-1039
2012-01-06
102012-01-01 pages
Article (Journal)
Electronic Resource
English
Time Series Analysis and Models of Freeway Performance
| Online Contents | 2012
Accelerated testing of the Ben Schoeman freeway: time series analysis in pavement engineering
British Library Online Contents | 2011
Diversion control of freeway traffic models, analysis simulation
Elsevier | 1979
| British Library Online Contents | 2008
Freeway Performance Measurement System: Operational Analysis Tool
| British Library Online Contents | 2002