Abstract
Most existing state-of-the-art combined-modal traffic assignment models seldomly consider the influence of travel time reliability on travel behaviors. In order to reveal the influence of travel time reliability on travelers’ route and mode choice behaviors, this paper constructs a combined inter-modal assignment model based on travel time reliability, which takes travel time and travel time reliability jointly constitute travel cost. The solution is then designed based on K-shortest paths algorithm coupled with successive average method. The validation of the proposed model and algorithm of solution are conducted using a real road network of Shanghai North Bund. The results are compared with that of the traditional models without consideration of the impact of travel time reliability. In addition, this research analyzes the effect of P&R policy on reducing traffic congestion as well as improving travel time reliability and demonstrates the three-dimensional relationship among the proportion of travel demand using two alternative modes, reliability preference factor and travel demand utility factor.
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This research is supported by the National Science Foundation of China (Grand No. 71001067).
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Ni, A., Lin, X., Luo, J. (2018). Stochastic Traffic Assignment Model Considering Park & Ride Network and Travel Time Reliability. In: Wang, W., Bengler, K., Jiang, X. (eds) Green Intelligent Transportation Systems. GITSS 2016. Lecture Notes in Electrical Engineering, vol 419. Springer, Singapore. https://doi.org/10.1007/978-981-10-3551-7_70
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DOI: https://doi.org/10.1007/978-981-10-3551-7_70
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