eprintid: 20954
rev_number: 24
userid: 3326
dir: disk0/00/02/09/54
datestamp: 2014-06-16 17:39:38
lastmod: 2016-11-15 14:18:37
status_changed: 2014-06-16 17:39:38
type: thesis_degree
metadata_visibility: show
contact_email: yuh45@pitt.edu
item_issues_count: 0
eprint_status: archive
creators_name: Hu, Yuan
creators_email: yuh45@pitt.edu
creators_id: YUH45
title: The Impact of Pedestrian Activities in Adaptive Traffic Signal Control System Operations
ispublished: unpub
divisions: sch_eng_civilenvironmental
full_text_status: public
keywords: adaptive traffic signal control system ASCT pedestrian activities actuations intervals
abstract: This research has explored how the presence of pedestrians can influence Adaptive signal Control Technology (ASCT) system performance. The research focused on an example case: the SURTRAC (Scalable Urban Traffic Control) system, an ASCT system developed by Carnegie Mellon University, which is currently operating a 9-intersection grid road network in the East Liberty section of Pittsburgh, Pennsylvania. 
The Trafficware program Synchro was used to simulate the operations of the system under four scenarios by inputting traffic volume collected and timing plans utilized in real-time by SURTRAC. Adaptive traffic control selected timings and operations with pedestrian actuations were compared to conditions without pedestrian actuation. Also the performance of the conventional time-of-day timing plans, prior to installation of SURTRAC, with and without pedestrian intervals was compared. 
The purpose of this research was to determine the impact of pedestrian calls on ASCT systems and to provide potential guidelines for the appropriate level of pedestrian activity that can be accommodated during the planning phase of ASCT project development. It could also be used as a tool to determine how pedestrian activity may impact system performance. The research results will help traffic and system developers to develop better optimization methods for ASCT systems to consider pedestrian delays.

date: 2014-06-16
date_type: published
pages: 75
institution: University of Pittsburgh
refereed: TRUE
etdcommittee_type: committee_chair
etdcommittee_type: committee_member
etdcommittee_type: committee_member
etdcommittee_name: Magalotti, Mark 
etdcommittee_name: Casson, Leonard
etdcommittee_name: Johnson, Keith
etdcommittee_email: mjm25@pitt.edu
etdcommittee_email: casson@pitt.edu
etdcommittee_email: keith.a.johnson@urs.com
etdcommittee_id: MJM25
etdcommittee_id: CASSON
etdcommittee_id: 
etd_defense_date: 2014-04-03
etd_approval_date: 2014-06-16
etd_submission_date: 2014-04-02
etd_release_date: 2014-06-16
etd_access_restriction: immediate
etd_patent_pending: FALSE
thesis_type: thesis
degree: MSCE
citation:   Hu, Yuan  (2014) The Impact of Pedestrian Activities in Adaptive Traffic Signal Control System Operations.  Master's Thesis, University of Pittsburgh.    (Unpublished)  
document_url: http://d-scholarship-dev.library.pitt.edu/20954/4/Huy_etd2014.pdf
document_url: http://d-scholarship-dev.library.pitt.edu/20954/5/ASCT_with_Ped_at_Saturday_Shopping_Peak_Hour.pdf
document_url: http://d-scholarship-dev.library.pitt.edu/20954/6/ASCT_without_Ped_at_Saturday_Shopping_Peak_Hour.pdf
document_url: http://d-scholarship-dev.library.pitt.edu/20954/7/TOD_with_Ped_at_Saturday_Shopping_Peak_Hour.pdf
document_url: http://d-scholarship-dev.library.pitt.edu/20954/8/TOD_without_Ped_at_Saturday_Shopping_Peak_Hour.pdf