Key result
MBMP reduces delays and stops versus conventional multi-path models across connected-vehicle penetration levels.
Why the study?
Most existing multi-path arterial progression studies overlook non-progression paths, rely on fixed phase splits, and treat queue lengths as independent of signal plans.
The proposed MBMP model improves traffic signal coordination by mitigating delays and stops compared to existing models.
Although multi-path arterial progression has emerged as a valuable tool for signal coordination, most extant studies generally overlook non-progression paths, mainly relying on fixed phase splits and treating queue lengths as independent of signal plans. To address these issues, we propose a multi-band model for multi-path arterial progression (MBMP). MBMP models queue evolution under varying phase splits, concurrently linking adjacent intersections and preventing spillovers. Further, MBMP decomposes paths into intersection-phase pairs, which act as basic units for local green-band generation. The model utilises effective green bands to capture the queue effects of adjacent plans and overlapping bandwidths to model path connectivity. Non-progressed phase pairs are sequenced to minimise disruption, and a heuristic is developed to enhance efficiency. Subsequent numerical experiments reveal that MBMP consistently mitigates delays and stops compared with MULTIBAND and multi-path band. Sensitivity analysis further confirms the effectiveness of the proposed MBMP, even at low connected-vehicle penetration.
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Li et al. (2025) studied this question. Multi-band model for multi-path arterial progression (MBMP) vs. MULTIBAND and multi-path band was evaluated on delays and stops. The multi-band model for multi-path arterial progression (MBMP) consistently mitigated delays and stops compared with MULTIBAND and multi-path band, even at low connected-vehicle penetration.
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