ETS-Data
ETS-Data is jointly established by Tsinghua University Press and School of Vehicle and Mobility, Tsinghua University, China and is a publicly accessible database, providing indispensable materials for result replications (data, codes, scripts, simulations, experimental designs, etc.). ETS-Data has been indexed by DCI (Data Citation Index) and Google Dataset Search.
Latest Update
List
Integrated vehicle and bidirectional charging scheduling for V2G-enabled electric bus system
The replication package associated with this study is publicly available at ETS-Data. The package contains the input data, source codes, parameter files, and computational results. The data used in this study describe the daily operation of a real-world multi-route electric bus system. The data were provided in JSON format in the replication package and named as dataConfig.
Asia, China, Changchun Capacity Drop as a Phase Transition: An Analytical Model via Stochastic Disturbance Propagation
The replication package of this paper
Global Replication Package for "CTM-augmented Proximal Policy Optimization for Joint Lane-Changing and Speed Advisory Control at Urban Lane-Drop Bottlenecks under Heterogeneous Traffic"
This replication package includes SUMO microscopic simulation source codes, network and route configuration files, the MPC baseline controller, the online CTM calibration module, and PPO training scripts. It also contains full experimental results covering 10 random seeds, 3 flow conditions, 2 traffic scenarios and 5 algorithms to back up the results in this manuscript. The attached Replication Explanatory File provides step-by-step guidance to reproduce Tables 4–5 and Figures 3–8.
Asia, China, Beijing FGA-BEVFusion: Frequency-Guided Attention for LiDAR–Camera BEV Fusion in 3D Object Detection
This replication package indudesthe complete code used in ourstudy titled “FGA-BEVFusion: Frequency-Guided Attention for LiDAR–Camera BEV Fusion in 3D Object Detection”. The supplied materials are of great significance to researchers and practitioners who aim to reproduce our experiments and verify the corresponding research results.
North America, United States, Boston VISTA+: Mesh-based single-view novel view synthesis and CAD-based foreground composition for synthetic driving-scene generation
The file is code for paper
VISTA+: Mesh-based single-view novel view synthesis and CAD-based foreground composition for synthetic driving-scene generation. Please check the readme.md in uploaded world2mesh2.zip to check how to use it.
The dataset ID has been included in the final version of the manuscript.
Asia, China, Shanghai 
Communications in Transportation Research was launched in 2021, with academic support provided by Tsinghua University and China Intelligent Transportation Systems Association. The Editors-in-Chief are Professor Xiaobo Qu, a member of the Academia Europaea from Tsinghua University and Professor Shuai’an Wang from Hong Kong Polytechnic University. The journal mainly publishes high-quality, original research and review articles that are of significant importance to emerging transportation systems, aiming to become an international platform and window for showcasing and exchanging innovative achievements in transportation and related fields, to promote the exchange and development of transportation research between China and the international academic community. It has been indexed in SCIE, SSCI, ESCI, Ei Compendex, Scopus, DOAJ, TRID and other databases. On June 20, 2024, Communications in Transportation Research achieved its first Impact Factor of 12.5, ranking it top in the "TRANSPORTATION" category (1/58, Q1), and its 2023 CiteScore of 15.2 places it in the top 5% of journals in the Scopus database.
Indexed by international databases
