Simultaneous Bandwidth Allocation Design for Traffic Signal Timing Plans in Urban Grid Traffic Networks under Perfect Traffic Information
Date Issued
2006
Date
2006
Author(s)
Lin, Yi-Mu
DOI
en-US
Abstract
In the past, traffic signal control strategies always use the traffic patterns gathered as inputs to formulate their traffic signal timing plans. As Intelligent Transportation Systems (ITS) develop, travelers’ information may be collected through modern communication technology, and thus the types of traffic information are changed. To improve the efficient use of the possible advanced traffic information, a new real-time traffic signal control scheme, the simultaneous bandwidth allocation (SBA) design, is proposed.
A future scenario with perfect traffic information for both the traffic signal controller and travelers are considered. The design of simultaneous bandwidth allocation takes the queuing vehicles at each intersection of the street as inputs, and tries to maximize the utility of the given bandwidth on a local urban grid network. Several system performance indexes (PI) are also presented to examine the performance of the bandwidth selection.
The bandwidth selecting problem occurring in SBA is solved by different PI-based bandwidth selecting mechanisms. To test the feasibility of the dynamic SBA design, a simple flow changing algorithm is used to illustrate the performance of the proposed bandwidth selecting strategies. By applying different total flow rate conditions, it is found that the results of these bandwidth selecting approaches are the same once the flow rate equals or exceeds the dispersing rate of queuing vehicles. In addition, the dynamic SBA has its best performance on PIs when the incoming flow rate is equal to the dispersing rate.
Subjects
同步綠燈帶寬分配
即時交通號誌控制
交通任務與號誌控制
綠燈帶寬選取
simultaneous bandwidth allocation
traffic information
real-time traffic signal control
traffic assignment and signal control
bandwidth selection
SDGs
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-95-R93921016-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
(MD5):52a38173469f120d316a180850376b5f