Cooperative intersection management for mixed traffic

• Main Author: Lim, Wei Yang
• Other Authors: Zhu Feng
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Civil engineering::Transportation
• Online Access: https://hdl.handle.net/10356/149345
• Institution: Nanyang Technological University

Connected and autonomous vehicles (CAVs) are set to change the world of transportation. The vast benefits that CAVs can offer to aspects such as improvement in traffic safety and efficiency resulted to the rapid development of CAVs in recent years. With the anticipated surge in market share of CAVs in the coming decade, it is inevitable that there will be a mixed traffic environment consisting of CAVs and human vehicles (HVs). The characteristics differences of CAVs and HVs will affect traffic safety and efficiency negatively. At intersections, where there are the most collision points, the negative impact due to these differences will be drastically magnified. With the significance of this issue in mind, several research on cooperative intersection management were done in attempt to find the optimal solution to the problem. Previous research have been done on both centralised and decentralised intersection management methods. However, the prospect of the implementation of a dedicated lane have not been investigated. In this Final Year Project, a dedicated straight-through CAV lane with the permission for occupying CAV to cross the intersection when safe is proposed. To evaluate the effectiveness of this new methodology, simulations were conducted using SUMO (Simulation of Urban Mobility). Qualitative and quantitative studies were conducted using the base scenario of three different traffic flow rates and varying CAV penetration rates, with state-of-the-practice signalized intersection as the control case. The experimental findings deduced that the implementation of the proposed intersection improved the overall efficiency of the intersection under uncongested traffic flow situations.