Research of Probabilistic Car-Following Model for Mixed Traffic Flow on Urban Arterial
Date Issued
2012
Date
2012
Author(s)
Hsu, Gia-Chi
Abstract
Mixed traffic flow is the most common traffic situation in urban roads in Taiwan. The interaction between cars and motorcycles is regarded as the most complex traffic topic in Taiwan; therefore it’s also a difficult problem in Microscopic Traffic simulation.
To completely resolve this issue, it is necessary to construct a probabilistic car-following model, which is a set of microscopic simulation software. The first step is to make a detailed analysis to find out the characteristics of mixed traffic flow, then to build the probabilistic car-following model of different vehicle types.
In this study, the selection is the west-bound of Section 4, Chung Hsiao East Road, Taipei, with typically mixed traffic flow characteristics. The length is about 350 m. The microscopic traffic flow data is obtained by Investigation and screening of the video recorded by DV installed on the top of high-rising buildings in the morning rush hours.
By analyzing a lot of video records of the motorcycles which follow cars in the selected lane, this study found that the lateral offset could result the vertical spacing and the time headway to be smaller; and found that there are a lot of variability on the driver’s following behavior. This study is a new introduction of the Markov model in mixed traffic environment, together with the probability for random conditions. To simulate a driver’s following behavior with the conditions (speed, lateral offset, time headway) under a moment of the probability of the new decision-making speed, combined with the perception of the boundaries of the behavior threshold model, promptly driving in a perception among various acceleration or deceleration models. This study also introduces a lateral offset variable on the behavior of the threshold model making it a three-dimensional variable following model (longitudinal spacing, lateral spacing and speed difference), being more suitable for mixed traffic flow.
Subjects
Mixed Traffic Flow
Microscopic Traffic Flow
Car Following Model
Simulation
Markov Model
Psycho-Physical Behavior Threshold
Lateral offset
Type
thesis
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