James A Bonneson
Texas A&M Transportation Institute
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Transportation Research Record | 2010
James A Bonneson; Michael P Pratt; Mark Vandehey
This paper describes the development of a procedure for predicting the arrival flow profile for an intersection approach. This profile describes the variation in flow rate during the average signal cycle as it would be measured at a specified point downstream of a signalized intersection. Research indicates that platoon decay (due to midsegment driveway access and egress) tends to have a more significant impact on the arrival flow profile than platoon dispersion. Platoon dispersion reflects drivers desire to increase their headway, while platoon decay reflects vehicles departing the platoon at midsegment access points. The procedure is recommended for inclusion in the Urban Street Segments chapter of the forthcoming 2010 Highway Capacity Manual.
SHRP 2 Report | 2013
Paul Ryus; James A Bonneson; Richard Dowling; John D Zegeer; Mark Vandehey; Wayne Kittelson; Nagui M. Rouphail; Bastian J Schroeder; Ali Hajbabaie; Behzad Aghdashi; Thomas Chase; Soheil Sajjadi; Richard Margiotta
This document contains two proposed chapters for the Highway Capacity Manual (HCM) that introduce the concept of travel time reliability and offer new analytic methods. Proposed Chapters 36 and 37 set out methodologies for incorporating reliability into the HCM analytic procedures for freeway facilities and urban streets. The approach is to generate many freeway and urban street scenarios involving various causes of nonrecurring congestion, such as incidents, weather, and work zones, and use the scenarios as input to a computational engine to calculate travel time over a segment. The travel times for each scenario are used to construct a distribution of travel time from which reliability performance measures can be derived. Chapter 37 supplements Chapter 36. It provides reliability values for selected U.S. facilities, offers an alternative freeway incident prediction method, elaborates on the freeway and urban street scenario generators, explains how to measure reliability in the field, and gives an example problem. The chapters were prepared under the Transportation Research Board’s second Strategic Highway Research Program (SHRP 2) Project L08, Incorporation of Travel Time Reliability into the Highway Capacity Manual, but they have not been officially accepted by the Highway Capacity and Quality of Service (HCQS) Committee of the Transportation Research Board.
SHRP 2 Report | 2014
John D Zegeer; James A Bonneson; Richard Dowling; Paul Ryus; Mark Vandehey; Wayne Kittelson; Nagui M. Rouphail; Bastian J Schroeder; Ali Hajbabaie; Behzad Aghdashi; Thomas Chase; Soheil Sajjadi; Richard Margiotta; Lily Elefteriadou
This publication presents a summary of the work conducted during the development of two proposed new chapters for the Highway Capacity Manual 2010 (HCM2010). These chapters demonstrated how to apply travel time reliability methods to the analysis of freeways and urban streets. The two proposed HCM chapters, numbers 36 and 37, introduce the concept of travel time reliability and offer new analytic methods. The prospective Chapter 36 for HCM2010 concerns freeway facilities and urban streets, and the prospective supplemental Chapter 37 elaborates on the methodologies and provides an example calculation. The chapters are proposed; they have not yet been accepted by the Transportation Research Boards Highway Capacity and Quality of Service (HCQS) Committee. The HCQS Committee has responsibility for approving the content of HCM2010. The second Strategic Highway Research Program (SHRP 2) Reliability Project L08 has also released the FREEVAL and STREETVAL computational engines. The FREEVAL-RL computational engine employs a scenario generator that feeds the Freeway Highway Capacity Analysis methodology in order to generate a travel time distribution from which reliability metrics can be derived. The STREETVAL-RL computational engine employs a scenario generator that feeds the Urban Streets Highway Capacity Analysis methodology in order to generate a travel time distribution from which reliability metrics can be derived.
Archive | 2007
James A Bonneson; Karl H Zimmerman
Archive | 2008
James A Bonneson; Michael P Pratt
Archive | 2009
Michael P Pratt; Jeffrey David Miles; James A Bonneson
Archive | 2012
James A Bonneson; Michael P Pratt; Praprut Songchitruksa
Transportation Research Board 90th Annual MeetingTransportation Research Board | 2011
Michael P Pratt; James A Bonneson; Jeffrey David Miles
Archive | 2011
James A Bonneson; Michael P Pratt; Praprut Songchitruksa
Archive | 2009
James A Bonneson; Michael P Pratt