Simulating microscopic bicycle flow considering behavioral heterogeneity and none-lane-based traffic characteristics
METADATA ONLY
Loading...
Date
2024-01
Publication Type
Other Conference Item
ETH Bibliography
yes
Citations
Altmetric
METADATA ONLY
Data
Rights / License
Abstract
Cycling as a mode of transport is currently on an upward trend as a low-emission alternative to driving in urbanized areas. With the increasing number of cyclists, it is of great interest to assess the capacity of cycling infrastructure in practice. In addition, proper management strategies for bicycle traffic are required. Simulation models are useful tools to understand the aggregated performance of bicycle flow considering cyclists' distinct movement behavior. However, existing microscopic bicycle simulation models are restricted either by the discrete space setup, such as cellular automata, or by using lane-based models which are essentially designed for cars. Cyclists' decision-making capabilities in the operational-level cycling behavior are also limited in the models. This paper proposes a new microscopic bicycle simulation model which considers the decision-making process for the operational behavior with continuous-space lateral movement. The simulation model is able to reproduce bicycle flow dynamics in under-saturated traffic conditions on an exclusive bike path. The simulation experiment first shows the bicycle flow performance in scenarios with different path widths. It also points out that the heterogeneity of desired speed, incentive to overtake, and size of the safety region perceived by cyclists are all factors which influence the capacity, average speed, and critical density of bicycle flow. The proposed model can be further extended to simulate more complex cycling behavior and investigate bicycle flow characteristics in congested situations.
Permanent link
Publication status
published
External links
Editor
Book title
2024 TRB Annual Meeting Online Program Archive
Journal / series
Volume
Pages / Article No.
Publisher
The National Academies of Sciences, Engineering, and Medicine
Event
103rd Annual Meeting of the Transportation Research Board (TRB 2024)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
08686 - Gruppe Strassenverkehrstechnik
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Notes
Poster abstract. Poster presented on January 10, 2024.