Investigating Link- and Network-level Bicycle Traffic Flow Characteristics using a Microsimulation Approach

Abstract

Implementing cycling infrastructure for road users has become a popular transport policy for cities to create a sustainable urban environment nowadays. A thorough understanding of bicycle traffic is required to evaluate new infrastructure designs. To fill the remaining knowledge gap in this aspect, this study aims to investigate bicycle traffic flow characteristics on dedicated bike lanes. A microsimulation tool is used to simulate various scenarios and compute bicycle traffic states. From the simulation results, bicycle flow characteristics presented at both link and network levels are identified and discussed. The findings are expected to be applied to future research regarding large-scale bicycle traffic flow modeling.