A multi-objective calibration framework for capturing the behavioral patterns of autonomously-driven vehicles-Reference-Cited by-同舟云学术

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A multi-objective calibration framework for capturing the behavioral patterns of autonomously-driven vehicles

Published:2023-07 Issue: Volume:152 Page:104151
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Zheng Shi-Teng,Makridis Michail A.^ORCID,Kouvelas Anastasios^ORCID,Jiang Rui,Jia Bin

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

National Natural Science Foundation of China

ETH Zurich

China Scholarship Council

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference49 articles.

1. A method to account for non-steady state conditions in measuring traffic hysteresis;Ahn;Transp. Res. C: Emerg. Technol.,2013

2. Comparing the observable response times of ACC and CACC systems;Brunner;IEEE T Intell. Transp. Sys.,2022

3. Comparison of simulation-based and model-based calibrations of traffic-flow microsimulation models;Ciuffo;Transp. Res. Rec.,2008

4. Requiem on the positive effects of commercial adaptive cruise control on motorway traffic and recommendations for future automated driving systems;Ciuffo;Transp. Res. C: Emerg. Technol.,2021

5. Calibrating microscopic car-following models for adaptive cruise control vehicles: Multiobjective approach;de Souza;J Transp. Eng. A: Sys.,2021

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1. Bayesian Calibration of the Intelligent Driver Model;IEEE Transactions on Intelligent Transportation Systems;2024-08

2. A novel car-following model for adaptive cruise control vehicles using enhanced intelligent driver model;Transportation Letters;2024-07-14

3. A methodology of cooperative driving based on microscopic traffic prediction;Physica A: Statistical Mechanics and its Applications;2024-06

4. Exploration on relation between vehicle oscillation type and platoon oscillation evolution based on multi-scenario field experiment;Physica A: Statistical Mechanics and its Applications;2024-04

5. Car-following model considering jerk-constrained acceleration stochastic process for emission estimation;Physica A: Statistical Mechanics and its Applications;2024-04

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