Abstract
In traditional OD survey, too many manpower and material resources are consumed, but the life cycle of the data is shortening and survey cost is increasing. In tackling these questions, the paper put forward the theory of calculating flow of road segments by mobile navigation software, get all the traffic link flow in current city after fuzzy process, finally obtain estimate OD data. Analysis Nanchang main city zone, adopt STOCH algorithm, stochastic user equilibrium assignment and system optimum realize OD matrix estimation. The results of the example show that OD matrix estimation based on mobile navigation data has feasibility, which also large scale reduce the OD investigation cost at the same time improve the effectiveness of the OD data.
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References
Lu, H.: Transport Management and Planning. Tsinghua University Press (2006) (In Chinese)
Shao, C., Gu, Y.: Transportation Planning. Beijing Jiaotong University Press (2012) (In Chinese)
Lu, H., Huang, H.: Transportation Planning Theory Research Front. Tsinghua University Press (2007) (In Chinese)
Wei, C., Yueming, C., Yupei, D.: OD matrix estimation algorithm with consideration to uncertainty of link flows. Urban Trans China 3, 79–81 (2008) (In Chinese)
Chen, Z., Li, K., Sun, J.: Count location selection for OD matrix estimation. Trans. Comput. China 1, 104–106 (2007) (In Chinese)
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© 2017 Springer Science+Business Media Singapore
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Wei, T., Wang, X., Xv, Y., Feng, Y. (2017). OD Matrix Estimation Based on Mobile Navigation Technology. In: Lu, H. (eds) Proceedings of the Second International Conference on Intelligent Transportation. ICIT 2016. Smart Innovation, Systems and Technologies, vol 53. Springer, Singapore. https://doi.org/10.1007/978-981-10-2398-9_21
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DOI: https://doi.org/10.1007/978-981-10-2398-9_21
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