| CIVIL ENGINEERING |
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Optimal traffic sensor layout model considering traffic big data |
| SUN Zhiyuan, LU Huapu |
| Institute of Transport Engineering, Department of Civil Engineering, Tsinghua University, Beijing 100084, China |
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Abstract An optimal traffic sensor layout model was developed to improve the accuracy, reliability and economy of urban traffic information collection. The traffic sensor layout was optimized in light of big data traffic information with the system optimized with consideration of the system cost, multi-source data sharing, data demand, fault conditions, road infrastructure, and different types of sensors. The impact of these influential factors was taken into account in a multi-objective programming model that included system cost minimization, traffic flow intercept maximization, path coverage minimization, and an origin-destination(OD) coverage constraint. The model was solved by the tolerant lexicographic method based on a genetic algorithm. A case study shows that the model provides multi-objective optimization, reflects the influence of multi-source data sharing and fault conditions, satisfies the origin-destination coverage constraint, and provides the optimal traffic sensor layout.
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| Keywords
traffic survey
optimal traffic sensor layout
multi-objective programming
traffic big data
genetic algorithm
tolerant lexicographic method
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Issue Date: 15 July 2016
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2016,
Vol. 56
