Towards Multimodal Operation of Smart Intersections

Regulating jaywalking behaviour in adaptive traffic signal control using a novel deep reinforcement learning approach

Lok Sang Chan, Xiaocai Zhang, Neema Nassir, Majid Sarvi

2026-06-01

This paper presents a deep reinforcement learning based adaptive traffic signal control framework that explicitly models jaywalkin..

Multi‐Objective Multi‐Step Adaptive Traffic Control (MOMSATC): Prioritising Pedestrians for a Safe and Sustainable Transport Development

Lok Sang Chan, Xiaocai Zhang, Neema Nassir, Majid Sarvi

2026-01-01

This paper introduces MOMSATC, an innovative multi-objective, multi-step adaptive traffic signal control framework grounded in the..

Preemptive crash risk reduction through a real-time cost-based safety prediction model (RECOSAM) for traffic signal control

LS Chan, N Nassir, X Zhang, M Yazdani, M Sarvi

2025-12-01

This paper proposes a novel real-time cost-based safety prediction model (RECOSAM) and incorporating it in intersection traffic si..

Transferable supervised learning model for public transport service load estimation

Tianwei Yin, Neema Nassir, Joseph Leong, Egemen Tanin, Majid Sarvi

2023-07-28

Detailed knowledge of service utilisation and passenger load profiles is the basis for the design, operation, and adjustment of a ..

Intelligent vehicle pedestrian light (IVPL): A deep reinforcement learning approach for traffic signal control

M Yazdani, M Sarvi, S Asadi Bagloee, N Nassir, J Price, H Parineh

2023-04-01

Deep reinforcement learning (RL) has been widely studied in traffic signal control. Despite the promising results that indicate th..

Temporal pattern mining of urban traffic volume data: a pairwise hybrid clustering method

Iman Taheri Sarteshnizi, Majid Sarvi, Saeed Asadi Bagloee, Neema Nassir

2023-01-01

Multiple pattern analyses of traffic data have been conducted previously; however, it has yet to be explored with an awareness of ..