Target Lane Changing Prediction Method for ACC System

Sensor Fusion - Based Lane Detection for Lks + Acc System

Lane Changing Prediction Modeling on Highway Ramps: Approaches and Analysis

The lane-change maneuver prediction system for human drivers is valuable for advanced driver assistance systems (ADAS) in terms of avoiding unnecessary maneuver efforts or unsafe merging, as well as encouraging lane-change behaviors that could increase travel efficiency. Learning the decision-making process of an intended lane changing is essential to model semi/full autonomous vehicles control...

SUMO’s Lane-Changing Model

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...

Lane Changing Models for Arterial Traffic

Driving behavior models for lane-changing and acceleration form an integral component of microscopic traffic simulators and determine its value in evaluation of different traffic management strategies. The state-of-art model for lane changing adopts a two-level framework: the first level involves a latent or unobserved choice of a target lane; the second level models the acceptance of adjacent ...

Lane-changing in traffic streams

It is postulated that lane-changing vehicles create voids in traffic streams, and that these voids reduce flow. This mechanism is described with a model that tracks lane changers precisely, as particles endowed with realistic mechanical properties. The model has four easy-to-measure parameters and reproduces without re-calibration two bottleneck phenomena previously thought to be unrelated: (i)...