Microscopic simulation of multi-lane traffic under dynamic tolling and information feedback |
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Authors: | Tian-liang Liu Hai-jun Huang and Li-jun Tian |
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Affiliation: | School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100191, China |
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Abstract: | To investigate drivers’ lane-changing behavior under different information feedback strategies, a microscopic traffic simulation
based on the cellular automaton model was made on the typical freeway with a regular lane and a high-occupancy one. A new
dynamic tolling scheme in terms of the real-time traffic condition on the high-occupancy lane was further designed to enhance
the whole freeway’s flow throughput. The results show that the mean velocity feedback strategy is generally more efficient
than the travel time feedback strategy in correctly guiding drivers’ lane choice behavior. Specifically, the toll level, lane-changing
rate and freeway’s throughput and congestion coefficient induced by the travel time feedback strategy oscillate with larger
amplitude and longer period. In addition, the dynamic tolling scheme can make the high-occupancy lane less congested and maximize
the freeway’s throughput when the regular-lane inflow rate is larger than 0.45. |
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Keywords: | information feedback strategy dynamic tolling scheme cellular automaton model high-occupancy lane |
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