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Behavior-Integrated Microsimulation Calibration: A Framework for Enhancing Model Accuracy Using High-Resolution Lidar Data

https://doi.org/10.2139/ssrn.5271298
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inferredcites →https://doi.org/10.1002/9780470725184openalex-snapshot
Global Sensitivity Analysis. The Primer
inferredcites →https://doi.org/10.1007/0-387-24109-4_3openalex-snapshot
Dynamic Network Simulation with AIMSUN
inferredcites →https://doi.org/10.1007/978-1-4419-6142-6openalex-snapshot
Fundamentals of Traffic Simulation
inferredcites →https://doi.org/10.1007/978-1-4419-6142-6_2openalex-snapshot
Microscopic Traffic Flow Simulator VISSIM
inferredcites →https://doi.org/10.1007/978-3-642-32460-4openalex-snapshot
Traffic Flow Dynamics: Data, Models and Simulation
inferredcites →https://doi.org/10.1007/s11116-007-9156-2openalex-snapshot
The principles of calibrating traffic microsimulation models
inferredcites →https://doi.org/10.1016/j.aap.2015.07.007openalex-snapshot
Driving risk assessment using near-crash database through data mining of tree-based model
inferredcites →https://doi.org/10.1016/j.aap.2017.04.012openalex-snapshot
Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving data
inferredcites →https://doi.org/10.1016/j.ijtst.2017.05.001openalex-snapshot
Calibration of microscopic traffic simulation models using metaheuristic algorithms
inferredcites →https://doi.org/10.1016/j.trb.2004.03.003openalex-snapshot
Real-time freeway traffic state estimation based on extended Kalman filter: a general approach
inferredcites →https://doi.org/10.1016/j.trc.2008.01.001openalex-snapshot
In-vehicle data recorders for monitoring and feedback on drivers’ behavior
inferredcites →https://doi.org/10.1016/j.trc.2009.01.005openalex-snapshot
Estimation of an integrated driving behavior model
inferredcites →https://doi.org/10.1016/j.trc.2010.12.007openalex-snapshot
On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data
inferredcites →https://doi.org/10.1016/j.trc.2015.01.018openalex-snapshot
Optimization-based assisted calibration of traffic simulation models
inferredcites →https://doi.org/10.1016/j.trc.2015.03.001openalex-snapshot
Calibration of traffic flow models using a memetic algorithm
inferredcites →https://doi.org/10.1016/j.trc.2018.06.009openalex-snapshot
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study
inferredcites →https://doi.org/10.1016/j.trc.2019.01.007openalex-snapshot
Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors
inferredcites →https://doi.org/10.1016/j.trc.2020.102847openalex-snapshot
Vehicle path reconstruction using Recursively Ensembled Low-pass filter (RELP) and adaptive tri-cubic kernel smoother
inferredcites →https://doi.org/10.1016/j.trc.2025.105205openalex-snapshot
Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery
inferredcites →https://doi.org/10.1016/s0001-4575(02)00022-2openalex-snapshot
A comparison of headway and time to collision as safety indicators
inferredcites →https://doi.org/10.1016/s0001-4575(03)00010-1openalex-snapshot
The multidimensional driving style inventory—scale construct and validation
inferredcites →https://doi.org/10.1016/s0378-4754(00)00270-6openalex-snapshot
Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
inferredcites →https://doi.org/10.1061/(asce)0733-947x(1998)124:6(526)openalex-snapshot
Calibration of FRESIM for Singapore Expressway Using Genetic Algorithm
inferredcites →https://doi.org/10.1073/pnas.1513271113openalex-snapshot
Driver crash risk factors and prevalence evaluation using naturalistic driving data
inferredcites →https://doi.org/10.1109/itsc.2003.1252749openalex-snapshot
A calibration procedure for microscopic traffic simulation
inferredcites →https://doi.org/10.1109/tits.2014.2302674openalex-snapshot
A Sensitivity-Analysis-Based Approach for the Calibration of Traffic Simulation Models
inferredcites →https://doi.org/10.1109/tits.2014.2331453openalex-snapshot
Do We Really Need to Calibrate All the Parameters? Variance-Based Sensitivity Analysis to Simplify Microscopic Traffic Flow Models
inferredcites →https://doi.org/10.1177/0018720815591313openalex-snapshot
A Review of Research on Driving Styles and Road Safety
inferredcites →https://doi.org/10.1177/0361198105193400122openalex-snapshot
Development and Evaluation of a Procedure for the Calibration of Simulation Models
inferredcites →https://doi.org/10.3141/2088-10openalex-snapshot
Estimating Acceleration and Lane-Changing Dynamics from Next Generation Simulation Trajectory Data
inferredcites →https://doi.org/10.3141/2088-22openalex-snapshot
Modeling Driver Behavior as Sequential Risk-Taking Task
inferredcites →https://doi.org/10.3390/s24134393openalex-snapshot
Integrating LiDAR Sensor Data into Microsimulation Model Calibration for Proactive Safety Analysis
inferredcites →https://doi.org/10.48550/arxiv.1811.06395openalex-snapshot
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study
inferredcites →https://doi.org/10.48550/arxiv.2501.10934openalex-snapshot
Automatic Calibration of Mesoscopic Traffic Simulation Using Vehicle Trajectory Data
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