《Transportation Research Part C-emerging Technologies》雜志的最新年發文量為343篇。
這表明該刊在每年都會精選并發表一定數量的高質量文章，以保持其在運輸科技領域的學術影響力。
該刊聚焦于工程技術-運輸科技領域的前沿研究，致力于推動該領域新技術和新知識的傳播與應用。同時它積極鼓勵研究人員詳細發表其高質量的實驗研究和理論成果。
該刊的平均審稿周期約為 約12.0個月 約14.5周。
Transportation Research Part C-emerging Technologies 雜志發文統計
文章名稱引用次數
- A hybrid deep learning based traffic flow prediction method and its understanding84
- What have we learned? A review of stated preference and choice studies on autonomous vehicles52
- The roles of initial trust and perceived risk in public's acceptance of automated vehicles52
- DeepPF: A deep learning based architecture for metro passenger flow prediction48
- What drives people to accept automated vehicles? Findings from a field experiment45
- Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments45
- Autonomous vehicle perception: The technology of today and tomorrow44
- An empirical investigation on consumers' intentions towards autonomous driving43
- On the min-cost Traveling Salesman Problem with Drone42
- A combined use of microscopic traffic simulation and extreme value methods for traffic safety evaluation39
國家/地區發文量
- USA411
- CHINA MAINLAND329
- Netherlands81
- Australia72
- England65
- Canada42
- Singapore40
- Switzerland38
- France32
- GERMANY (FED REP GER)30
