Integrated optimisation technique based on computer-aided capacity and safety evaluation for managing downstream lane-drop merging area of signalised junctions

• Main Authors: Chai, Chen, Wong, Yiik Diew
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Analytic Hierarchy Process (AHP); Data Envelopment Analysis (DEA); DRNTU::Engineering::Civil engineering
• Online Access: https://hdl.handle.net/10356/89415; http://hdl.handle.net/10220/46242
• Institution: Nanyang Technological University

This study provides an integrated strategy, encompassing microscopic simulation, safety assessment, and multi-attribute decision-making, to optimize traffic performance at downstream merging area of signalized intersections. A Fuzzy Cellular Automata (FCA) model is developed to replicate microscopic movement and merging behavior. Based on simulation experiment, the proposed FCA approach is able to provide capacity and safety evaluation of different traffic scenarios. The results are then evaluated through data envelopment analysis (DEA) and analytic hierarchy process (AHP). Optimized geometric layout and control strategies are then suggested for various traffic conditions. An optimal lane-drop distance that is dependent on traffic volume and speed limit can thus be established at the downstream merging area.