Multi-modal traffic flow assignment in hypergraph network

Yiping Zhong; Qingyu Luo

doi:10.1117/12.2689867

7 September 2023 Multi-modal traffic flow assignment in hypergraph network

Yiping Zhong, Qingyu Luo

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127905Q (2023) https://doi.org/10.1117/12.2689867
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

The existing modelling methods for multi-modal traffic network are generally based on traditional graph theory, and have high space complexity for the large number of virtual nodes and links. This article proposes a new modelling approach for bus network in multi-modal traffic network based on the hypergraph. In this study, the modelling of multimodal hypergraph is provided, and the traffic flow assignment model is focused. According to the characteristics of hyperedge list, the cost functions are redefined and used in the multi-modal traffic assignment. An experiment is taken to prove the effectiveness of the multi-modal hypergraph network. This study provides a meaningful supplement and promotion for the theory of transportation network modelling and assignment, and has a practical significance for the macro-simulation of multi-modal traffic network.

Citation Download Citation

Yiping Zhong and Qingyu Luo "Multi-modal traffic flow assignment in hypergraph network", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127905Q (7 September 2023); https://doi.org/10.1117/12.2689867

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