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Author:

Li, Zhenlong (Li, Zhenlong.)

Indexed by:

EI Scopus

Abstract:

In this paper, the Stackelberg game theory is applied to optimally coordinate ramp metering and speed control in order to alleviate congestion on urban freeways. Ramp metering can prevent a traffic breakdown by adjusting the metering rate. Speed control is to regulate and guide the traffic flow on the mainline of freeway to achieve stable traffic flow. After the interaction between variable speed and ramp metering is analyzed, we formulate the ramp metering and variable speed control as a Stackelberg game and variable speed control is regarded as the leader, ramp metering as the followers. Within this framework, we propose a Stackelberg game model of ramp metering and variable speed control. At last, we use a simple network to illustrate our approach and the simulation results show that this approach is effective.

Keyword:

Intelligent vehicle highway systems Speed Speed regulators Game theory Speed control Intelligent systems Traffic control

Author Community:

  • [ 1 ] [Li, Zhenlong]School of Electronic Information and Control Engineering, Beijing University Of Technology, Beijing, 100022, China

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Source :

Year: 2009

Volume: 2

Page: 986-994

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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