01627532

Component

https://doi.org/10.3141/2622-11

Inspired by the similarity between vehicle interactions and particle interactions, a mechanical system with force elements is introduced to simulate a vehicle’s acceleration behavior in a multilane traffic flow. On the basis of Newton’s second law of motion, a subject vehicle’s longitudinal behavior is simulated with the interaction force induced by the neighboring vehicles and the driver’s driving preference. Five important factors—(a) subject vehicle’s speed, (b) acceleration sensitivity, (c) safety consideration, (d) relative speed sensitivity, and (e) gap-reducing desire—are considered; each is modeled by a force element. A recently developed data collection system is used to capture the testing driver’s acceleration behavior; the model parameters are calibrated with the traveler’s driving behavior. To demonstrate the present model, a microscopic simulation program was developed with MATLAB. The simulated trajectories not only describe a driver’s acceleration behavior in common scenarios but also accurately present complex, high-order behavior during multifaceted scenarios, such as lane changing or lead gap changing. The present model can be applied to single-lane and multilane car-following scenarios with the same algorithm.

01648629

17-02270

English

pp 117–124

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309441889

Digital/other

Figures (7) ; Photos; References (41) ; Tables (2)

Acceleration (Mechanics); Behavior; Driving; Multilane highways; Traffic flow; Traffic simulation

MATLAB (Computer program)

Highways; Operations and Traffic Management; Planning and Forecasting

TRIS, TRB, ATRI

Dec 8 2016 10:51AM

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• Improving Urban Street Network Efficiency by Prohibiting Conflicting Left Turns at Signalized Intersections
• Investigating the Effects of Reserved Lanes for Autonomous Vehicles on Congestion and Travel Time Reliability
• Network Flow Relations and Travel Time Reliability in a Connected Environment
• Optimizing Traffic Flow Efficiency by Controlling Lane Changes: Collective, Group, and User Optima
• Pedestrian Crowd Dynamics Observed at Merging Sections: Impact of Designs on Movement Efficiency
• Resuming Manual Control or Not? Modeling Choices of Control Transitions in Full-Range Adaptive Cruise Control
• SimMobility Short-Term: An Integrated Microscopic Mobility Simulator