Abstract:
This study is focused on developing a methodology for microscopic simulation of parking violation behaviours in Bus Priority Lanes (BPLs) to understand the impact of frequency and duration of such violations on their performance. Parking violations were simulated in SUMO by a process that automates vehicle insertion and the act of performing the violations, incorporating the randomness of violation position and time as observed in real-world parking violations. The advantages of the developed methodology were its efficiency by automation of scenario and output generation and its ability to be easily adapted to other networks.
