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Predictive Analytics and Real-Time Traffic Control for Urban Corridors

Grant number: 106769 | Funding period: 2023 - 2026

Completed

Related publications (3)

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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..

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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..

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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..

University of Melbourne Researchers

Majid Sarvi's Profile Picture
Majid Sarvi

Neema Nassir's Profile Picture
Neema Nassir

Saeed Asadi Bagloee's Profile Picture
Saeed Asadi Bagloee

Egemen Tanin's Profile Picture
Egemen Tanin

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