Zhu, Hongtao (2024) Isolated Signalised Intersection Optimisation Under Mixed Traffic Flow. Masters thesis, Perpustakaan Hamzah Sendut.
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Abstract
Traffic congestion has become a severe problem. Numerous studies have focused on optimising intersection performance under homogeneous traffic flow, which refers to a situation on a road where vehicle dimensions do not vary much from each other and vehicles behave similarly in terms of speed and following distance. However, few studies have considered mixed traffic flow. Mixed traffic flow is exceedingly stochastic and non-linear, with numerous traffic compositions which limit the largescale application of previously proposed methods. Hence, the intersection performance under mixed traffic flow is optimised from two aspects: intersection layout and signal timing. For intersection layout, this study considers an existing one-lane left-turn bypass intersection. To improve the intersection performance, an alternative two-lane left-turn bypass intersection layout is proposed. A simulation study to compare the proposed intersection with the two other intersection layouts under mixed traffic flow is conducted. The results show that the proposed intersection outperforms the two other layouts. For signal timing, this study considers the multi-objective signal timing optimisation problem for isolated intersection under mixed traffic flow. The findings demonstrate that traffic signal plans yielded by the proposed method have more advantages in reducing traffic congestion compared to the existing traffic signal plans. A main contribution of this study is the consideration of mixed traffic flow by including two-wheeled vehicles in the model.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA1 Mathematics (General) |
| Divisions: | Pusat Pengajian Sains Matematik (School of Mathematical Sciences) > Thesis |
| Depositing User: | Mr Hasmizar Mansor |
| Date Deposited: | 02 Mar 2026 02:54 |
| Last Modified: | 02 Mar 2026 02:54 |
| URI: | http://eprints.usm.my/id/eprint/63685 |
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