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Ramp metering has emerged as an effective freeway control measure to ensure efficient freeway operations.
We present in this paper a linear programming framework to address freeway control applications such as ramp metering.
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In the last three decades, it has been constantly studied and widely applied in various engineering practice, such as robotics, freeway traffic control, biomedical engineering, industrial process control, et cetera [2 9].
This paper deals with the problem of freeway traffic control through ramp metering to enhance their efficiency.
This paper presents a microscopic simulation laboratory, microscopic traffic flow simulator (MITSIM Lab, and its application to evaluation of freeway traffic control.
S. Coogan and M. Arcak, "Freeway traffic control from linear temporal logic specifications," in Proceedings of the 5th ACM/IEEE International Conference on Cyber-Physical Systems, 2014, pp. 36-47.
Major advances in the field of traffic-flow theory originated at Berkeley, which has spawned the world's leading systems for traffic measurement through loop detectors and video surveillance, as well as freeway traffic control through ramp metering.
Ramp metering is a well-known strategy in freeway traffic control.
The driver entered a connector ramp onto the northbound 15 Freeway, lost control of his vehicle and crashed into a guardrail, authorities said.
Advanced urban traffic networks including both urban roads and freeways utilize control strategies like signal control, ramp metering, variable message signs, and route guidance [5].
These plans to transfer the freeway to state control and extend it were dropped in the 1970s after opposition to another freeway in Detroit.
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