DocumentCode :
2369815
Title :
Does traffic metering improve network performance efficiency?
Author :
Hajbabaie, Ali ; Benekohal, Rahim F.
Author_Institution :
Univ. of Illinois at Urbana - Champaign, Urbana, IL, USA
fYear :
2011
fDate :
5-7 Oct. 2011
Firstpage :
1114
Lastpage :
1119
Abstract :
Traffic metering at on-ramps in interstate highways has been widely used and led to desirable results. In urban transportation networks when demand reaches network capacity level, traffic metering may also increase network performance efficiency. In this paper, we apply different metering strategies to a case study network to see if they result in a different network operation and potentially a more efficient performance. To make sure if any observed differences in network performance efficiency is due to metering strategies and not due to an inappropriate signal timing, we determine near optimal signal timing of the network by using our Intelligent Dynamic Signal Timing Optimization Program (IDSTOP). IDSTOP incorporates Genetic Algorithms (GAs) with microscopic traffic simulation to find near-optimal signal timing parameters of the network. Our results showed that letting all traffic enter the network or metering a large portion of the traffic are not the best options. Instead metering around 20% of the traffic resulted in the best network performance in terms of average delay (16% reduction compared to no metering and 17% reduction compared to extremely heavy metering strategies), network throughput (18% increase compared to heavy metering), and average travel time (14% reduction compared to no metering and 10% reduction compared to heavy metering). Our findings suggested that in an urban network, there is an optimal point that sending more vehicles into the network than that deteriorates network performance efficiency.
Keywords :
genetic algorithms; road traffic; roads; simulation; transportation; GA; IDSTOP; genetic algorithms; intelligent dynamic signal timing optimization program; interstate highways; microscopic traffic simulation; network capacity level; network performance efficiency; on-ramps; traffic metering; urban transportation networks; Delay; Genetic algorithms; Mathematical model; Microscopy; Optimization; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
Conference_Location :
Washington, DC
ISSN :
2153-0009
Print_ISBN :
978-1-4577-2198-4
Type :
conf
DOI :
10.1109/ITSC.2011.6083011
Filename :
6083011
Link To Document :
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