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ets data home explore submit login sign up guide for authors 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 submit explore view all dataset latest update list published on 2026 06 30 associated article https doi org 10 26599 jicv 2026 9210082 ego vehicle trajectory prediction based on driver vehicle coupling characteristics in diverse urban scenarios zheng gao this software package supports the reproduction of key numerical results reported in the research study including the modeling of driver vehicle coupling characteristics in diverse urban scenarios the proposed ego vehicle trajectory prediction algorithm framework validation of ego vehicle trajectory prediction outputs and comprehensive generalization tests the package includes matlab scripts for data processing ego vehicle trajectory prediction model training prediction result visualization and performance evaluation and model generalization validation it also contains pre processed model data training and testing datasets and trained model parameter files test scenarios cover typical urban driving conditions left lane changing right lane changing roundabout navigation left turning right turning and straight driving detailed instructions for reproducing the main results are provided in the readme file driver behaviour trajectory prediction doi 10 26599 etsd 2026 9190026 cstr 32009 11 etsd 2026 9190026 asia china changchun published on 2026 06 26 autonomous vehicle decision making and safety evaluation based on physics aware graphs and hybrid policy optimization lei he this replication package is associated with the manuscript autonomous vehicle decision making and safety evaluation based on physics aware graphs and hybrid policy optimization submitted to the journal of intelligent and connected vehicles under manuscript id jicv 2026 0020 the package includes source code configuration files simulation scripts processed sample data training logs evaluation results generated tables figure generation scripts and a replication explanatory file for journal associated data these materials support reproduction of the main experiments including online reinforcement learning in highway v0 comparisons among ppo mlp ladm ppo and ladm hpo offline safety evaluation using ladmcritic ttc correlation analysis and risk energy field visualization external datasets are not redistributed if restricted by their original data use policies instead source information and preprocessing instructions are provided automated vehicle autonomous driving doi 10 26599 etsd 2026 9190025 cstr 32009 11 etsd 2026 9190025 asia china changchun published on 2026 06 26 mild mediator agentic system with bidirectional perception and multi layered alignment for human vehicle collaboration jiyao wang yunbiao wang yubo jiao xiao yang dengbo he sasan jafarnejad luis miranda moreno raphaël frank jiangbo yu the code and data for mild to access the original video of aide dmd and drivelm please refer to their source papers automated vehicle large language models doi 10 26599 etsd 2026 9190024 cstr 32009 11 etsd 2026 9190024 asia china published on 2026 06 21 a ship weather routing framework based on the dual mode deep reinforcement learning yangyu zhou yuanyuan xu shuxiu liang jia li ran yan ship navigation is strongly influenced by the ocean environment adverse sea environment not only increases fuel consumption but can also endanger navigation safety for the challenge a ship weather routing framework based on deep reinforcement learning drl is proposed due to limitations on the amount of data that can be uploaded the replication package only contains the key code the complete key code and data will be attached as additional attachments path planning marintime transportation doi 10 26599 etsd 2026 9190023 cstr 32009 11 etsd 2026 9190023 global published on 2026 06 10 the swarm intelligence freeway urban trajectories swiftraj dataset part ii a graph based approach for trajectory connection xinkai ji pan liu ying yang yu han in part i of this companion paper series we introduced swiftraj an open source vehicle trajectory dataset collected by a uav swarm it provides long distance continuous trajectories by connecting vehicle trajectories across consecutive uav videos with the longest trajectory exceeding 4 5 km and covers an integrated network of freeways and connected urban roads however trajectory connection in uav swarms is challenging because of video time offset errors and irregular uav layouts to address these issues this paper proposes a graph based trajectory connection method an undirected graph is used to represent flexible uav layouts an automatic time alignment method is developed by minimizing trajectory matching costs and cross video vehicle association is performed using a hungarian algorithm based matching table experiments on real world and simulated data show that the proposed method achieves time alignment errors within three frames about 0 1 s and consistently high vehicle matching f1 scores trajectory reconstruction vehicle trajectory dataset time alignment unmanned aerial vehicle uav swarm undirected graph doi 10 26599 etsd 2026 9190022 cstr 32009 11 etsd 2026 9190022 asia china nanjing more journal overview communications in transportation research 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 journal of intelligent and connected vehicles journal of intelligent and connected vehicles publishes peer reviewed open access research on all aspects of intelligent and connected vehicles icvs technology in association with the state key laboratory of automotive safety and energy based at tsinghua university it is indexed in scopus and doaj 1 2 indexed by international databases about about us data and code disclosure and sharing policy ets data and materials use agreement open api contact ets data address floor 6 tower b xueyan building shuangqing road haidian district beijing 100084 china technical support tel 86 10 8347 0507 email ets data tup tsinghua edu cn copyright 2026 tsinghua university press ltd