Chapter
Jun 29, 2016
A Local Ramp Metering Control Strategy Based on the Hybrid Petri Net
Authors: Chong Wang [email protected], Xia Wan [email protected], Jiajian Lu [email protected], Jian Zhang [email protected], and Xu Qu [email protected]Author Affiliations
Publication: CICTP 2016
Abstract
In this paper, the authors proposed a local ramp metering model based on the hybrid Petri net, which consists of a traffic distribution observer, ramp metering surface model, and an on-ramp traffic controller. The model produces real-time decisions according to the real-time traffic state, and a set of pre-specified constraints. On-ramp signals use decisions given by the model to adjust the on-ramp traffic flow. In a simulation case study, there is around 9% decrease of vehicle total travel time in the local ramp metering area. The results have shown that the model can adjust on-ramp traffic flow according to mainline real-time traffic state effectively, and alleviate bottleneck congestion.
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Published In
CICTP 2016
Pages: 40 - 50
Copyright
© 2016 American Society of Civil Engineers.
History
Published online: Jun 29, 2016
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Authors
Affiliations
Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast Univ.; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies; Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things; Research Center for Internet of Mobility, Southeast Univ., No. 2 Si Pai Lou, Nanjing 210096, China. E-mail: [email protected]
Dept. of Civil and Environmental Engineering, Univ. of Wisconsin-Madison, 1415 Engineering Dr., Madison, WI 53706. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast Univ.; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies; Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things; Research Center for Internet of Mobility, Southeast Univ., No. 2 Si Pai Lou, Nanjing 210096, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast Univ.; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies; Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things; Research Center for Internet of Mobility, Southeast Univ., No. 2 Si Pai Lou, Nanjing 210096, China. E-mail: [email protected]
Jiangsu Key Laboratory of Urban ITS, School of Transportation, Southeast Univ.; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies; Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things; Research Center for Internet of Mobility, Southeast Univ., No. 2 Si Pai Lou, Nanjing 210096, China. E-mail: [email protected]
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