Energetic Impacts of Autonomous Vehicles in Real-World Traffic Conditions From Nine Open-Source Datasets-Reference-Cited by-同舟云学术

Energetic Impacts of Autonomous Vehicles in Real-World Traffic Conditions From Nine Open-Source Datasets

Published:2023-09 Issue:9 Volume:24 Page:9901-9914
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Huang Jianchang¹^ORCID,Song Guohua¹^ORCID,He Feng²,Tan Zhe²^ORCID

Affiliation:

1. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing, Haidian, China

2. Department of Affiliation, Beijing Saimo Technology Company Ltd, Beijing, Haidian, China

Funder

National Natural Science Foundation of China

Beijing Saimo Technology Company Ltd

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10235283/10128800.pdf?arnumber=10128800

Reference46 articles.

1. Are Commercially Implemented Adaptive Cruise Control Systems String Stable?

2. L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving

3. OpenACC. An open database of car-following experiments to study the properties of commercial ACC systems

4. CACC field operational test 2018 NoordHolland; cooperative and automated driving for intelligent traffic signal corridors. 4TU;calvert,2020

5. A fuel economy optimization system with applications in vehicles with human drivers and autonomous vehicles

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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

2. Assessing the Paradox of Autonomous Vehicles: Promised Fuel Efficiency vs. Aggregate Fuel Consumption;Energies;2024-03-26