Projection Algorithm for Improved Corridor Signal Coordination
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2009
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ndltd-OhioLink-oai-etd.ohiolink.edu-akron12573708522021-08-03T05:25:56Z Projection Algorithm for Improved Corridor Signal Coordination Feng, Cong Civil Engineering Green Bandwidth Signal Coordination Linear Programming Offset Optimization VISSIM Simulation <p>With ever-increasing travel demands on current urban roadway networks and limited financial resources, it has become increasingly challenging for traffic engineers to improve the roadway level of service efficiently and economically (1). Compared with an infrastructure reconstruction project, optimizing the current traffic facilities, especially the traffic signal control systems, is favored by most of traffic engineers. In many cases, advanced traffic control devices and well designed traffic operation strategies can provide effectively relief from congestion with considerably low investment.</p><p>In recent years, more and more state-of-the-art traffic control systems have been developed to reduce travel delay, smooth traffic flow, monitor traffic incident, and reduce fuel consumption. Many advanced technologies have been integrated in modern traffic control systems, including new vehicle detection devices, video processing hardware, short-range communication equipment, GPS, GIS, etc. In those systems, signal coordination is one of the most important concepts, especially when the system is designed for the entire signalized urban corridor rather than isolated intersection. </p><p>A corridor signal optimization method called projection algorithm (PA) was developed and tested in this thesis. By using green splits at each intersection and the link length as well as speed limit between intersections as input, PA calculates the offset for each intersection to maximize the green bandwidth along the corridor and it further improves the method by considering the residual queue, start-up delay, unbalanced directional volume in signal optimization. The signal timing plan from this algorithm has been evaluated in VISSIM simulation platform and the effectiveness is discussed. Preliminary results show that PA is able to produce effective signal coordination plans, especially in low and medium volume conditions with competitive output in comparison with plans from other methods. Built on the findings, a comprehensive evaluation of the green bandwidth method has also been conducted for future research and field implementation.</p> 2009-12-23 English text University of Akron / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=akron1257370852 http://rave.ohiolink.edu/etdc/view?acc_num=akron1257370852 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Civil Engineering Green Bandwidth Signal Coordination Linear Programming Offset Optimization VISSIM Simulation |
| spellingShingle |
Civil Engineering Green Bandwidth Signal Coordination Linear Programming Offset Optimization VISSIM Simulation Feng, Cong Projection Algorithm for Improved Corridor Signal Coordination |
| author |
Feng, Cong |
| author_facet |
Feng, Cong |
| author_sort |
Feng, Cong |
| title |
Projection Algorithm for Improved Corridor Signal Coordination |
| title_short |
Projection Algorithm for Improved Corridor Signal Coordination |
| title_full |
Projection Algorithm for Improved Corridor Signal Coordination |
| title_fullStr |
Projection Algorithm for Improved Corridor Signal Coordination |
| title_full_unstemmed |
Projection Algorithm for Improved Corridor Signal Coordination |
| title_sort |
projection algorithm for improved corridor signal coordination |
| publisher |
University of Akron / OhioLINK |
| publishDate |
2009 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=akron1257370852 |
| work_keys_str_mv |
AT fengcong projectionalgorithmforimprovedcorridorsignalcoordination |
| _version_ |
1719420044006391808 |