A Repeated Game Freeway Lane Changing Model
نویسندگان
چکیده
منابع مشابه
Modeling Freeway Lane Changing Behavior
Drivers continuously evaluate the surrounding traffic and the roadway environment, and make decisions about lanes and travel speed. The objective of this thesis is to develop a lane changing model that can be used in microscopic traffic simulation models to capture drivers' lane changing behavior. Lane change is modeled as a sequence of four steps: decision to consider a lane change, choice of ...
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The SUMO application suite [1, 2] provides tools for the Simulation Of Urban MObility. It consists of a microscopic simulator for multimodal road traffic and a host of applications for preparing simulation input data (network import and modification, traffic import, routing) and for working with simulation outputs. The microscopic driving dynamics of road vehicles are determined by the interpla...
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The SUMO application suite [1, 2] provides tools for the Simulation Of Urban MObility. It consists of a microscopic simulator for multimodal road traffic and a host of applications for preparing simulation input data (network import and modification, traffic import, routing) and for working with simulation outputs. The microscopic driving dynamics of road vehicles are determined by the interpla...
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We propose a macroscopic modeling framework for networks of freeways equipped with managed lanes. Two types of managed lane configuration are considered: full-access, where vehicles can switch between the general purpose (GP) and the managed lanes anywhere; and separated, where such switching is allowed only at certain locations called gates. The proposed framework is based on widely-used first...
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In this paper, we propose a new data-driven model to simulate the process of lane-changing in traffic simulation. Specifically, we first extract the features from surrounding vehicles that are relevant to the lane-changing of the subject vehicle. Then, we learn the lane-changing characteristics from the ground-truth vehicle trajectory data using randomized forest and back-propagation neural net...
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ژورنال
عنوان ژورنال: Sensors
سال: 2020
ISSN: 1424-8220
DOI: 10.3390/s20061554