Car-following characteristics of various vehicle types in respective driving phases

Abstract

The dynamics of mixed traffic were analysed by examining the driving features of various vehicles based on their car-following behaviours in a test-driving circuit. By applying decision tree analysis to the observed data, we successfully compared the acceleration, velocity difference and distance gap of different vehicles during driving trials and quantitatively extracted the features of these physical values from the respective driving phases. Our investigation resulted in a short-distance gap for motorcycles in the steady phase, while a difference in the distance gap between cars and trucks appeared in the early deceleration phase. We also obtained the characteristic behaviours of these vehicle types in different driving phases. Our findings indicate that the car-following characteristics of various types of vehicles are affected by the recognition of vehicle agility. Furthermore, we propose the necessary model parameters for replicating these features in different driving phases.

Keywords:

• Mixed traffic
• car-following characteristics
• decision tree
• shapelet

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCID

Akihito Nagahama http://orcid.org/0000-0001-7285-5110

Additional information

Funding

This work was supported by JSPS KAKENHI Grant Numbers 25287026 and 15K17583, and partially supported by MEXT - Ministry of Education, Culture, Sports, Science and Technology as ‘Post-K Computer Exploratory Challenges’ (Exploratory Challenge 2: Construction of Models for Interaction Among Multiple Socioeconomic Phenomena, Model Development and its Applications for Enabling Robust and Optimized Social Transportation Systems) (Project ID: hp180188).