01476452

Component

https://doi.org/10.3141/2390-14

http://scholar.google.com...oung&publication_year=2013

In the past decade, the development and the application of traffic microsimulation to replicate real-world traffic behavior have become pervasive among traffic and transport researchers. The modeling of a driver’s car-following behavior, which forms the fundamental component of traffic microsimulation, has meanwhile been an important research direction leading to the sophistication of traffic microsimulation. However, recent studies have pointed out that a driver’s following behavior varies when the lead vehicle is a passenger car as opposed to a heavy vehicle. Nevertheless, existing models do not precisely address those differences. This oversight could diversely affect the accuracy of traffic microsimulations, particularly with the current trend of an increasing number of heavy vehicles in the traffic stream. A novel car-following model that considered the heterogeneity of lead vehicles was developed. Two types of lead vehicles were considered in this study: passenger cars and heavy vehicles. The model was developed on the basis of the local linear model tree approach. This approach is able to incorporate human perceptual imperfections into a car-following model. The input space is partitioned incrementally, and a linear model is developed for each locality (partition). The final output is calculated by the fuzzy combination of local models according to the validity function of each model. For training and testing purposes, two real-world data sets were obtained from a U.S. freeway under congested traffic conditions. The results showed very close agreement between the real data and the outputs of the proposed model.

01516646

13-1837

English

pp 131–137

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309287159

Print

Figures (5) ; References (22) ; Tables (2)

Artificial intelligence; Car following; Microsimulation; Traffic models; Trees (Mathematics); Trucks

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I70: Traffic and Transport

TRIS, TRB, ATRI

Feb 5 2013 12:26PM

• Application of Naturalistic Driving Data to Modeling of Driver Car-Following Behavior
• Comparing Calibrated Shared Space Simulation Model with Real-Life Data
• Gaussian Process Metamodels for Sensitivity Analysis of Traffic Simulation Models: Case Study of AIMSUN Mesoscopic Model
• Green Light Optimized Speed Advisory Systems: Impact of Signal Phasing Information Accuracy
• Inhomogeneous Flow Patterns in Undersaturated Road Networks: Implications for Macroscopic Fundamental Diagram
• Macroscopic Fundamental Diagram for Urban Streets and Mixed Traffic: Cross Comparison of Estimation Methods
• Making NGSIM Data Usable for Studies on Traffic Flow Theory: Multistep Method for Vehicle Trajectory Reconstruction
• Model-Based Traffic Congestion Control in Urban Road Networks: Analysis of Performance Criteria
• Novel Cell Transmission Model–Based Simulations of Left-Turn Blockages Inside Intersections
• On Observable Chaotic Maps for Queuing Analysis
• Simulation-Based Assessment of Double-Parking Impacts on Traffic and Environmental Conditions
• Spatiotemporal Link Speed Correlations: Empirical Study
• Using Mobile Probe Data and the Macroscopic Fundamental Diagram to Estimate Network Densities: Tests Using Microsimulation
• Variable Speed Limit Control Based on Extended Link Transmission Model