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Transportation Research Part C: Emerging Technologies

ISSNs: 0968-090X

Elsevier, Oxford [u.a.]

Scopus rating (2023): CiteScore 15.8 SJR 2.86 SNIP 2.724

Journal

Titles
  • Transportation Research Part C: Emerging Technologies
  • Transportation research. Part C, Emerging technologies
Additional searchable titlesTramsportation Research, Part C: Emerging Technologies, Tranportation Research, Part C: Emerging Technologies, Transporation Research, Part C: Emerging Technologies, Transportation Research Part C, Transportation Research, Part C: Emerging Technologies
ISSNs0968-090X
PublisherElsevier, Oxford [u.a.]
ZDB-ID1150833-4

Keywords

ASJC Scopus subject areas

Library keywords

Related content

A probabilistic approach for queue length estimation using license plate recognition data: Considering overtaking in multi-lane scenarios

Luo, L., Wu, H., Liu, J., Tang, K. & Tan, C., Apr 2025, In: Transportation Research Part C: Emerging Technologies. 173, 105029.

Research output: Contribution to journal › Research article › Contributed › peer-review

A link-based flow model with turn-level queue transmission and time-varying free-flow speed for urban road networks

Wei, L., Waller, S. T., Mei, Y., Chen, P., Wang, Y. & Wang, M., Jan 2025, In: Transportation Research Part C: Emerging Technologies. 170, 104937.

Research output: Contribution to journal › Research article › Contributed › peer-review

Robust optimization of train timetables with short-length and full-length services considering uncertain passenger volume and service choice behavior

Wang, F., Wang, P., Zhu, Z., Xu, R., Pan, H. & Bešinović, N., Dec 2024, In: Transportation Research Part C: Emerging Technologies. 169, 104855.

Research output: Contribution to journal › Research article › Contributed › peer-review

Self-organized free-flight arrival for urban air mobility

Waltz, M., Okhrin, O. & Schultz, M., Oct 2024, In: Transportation Research Part C: Emerging Technologies. 167, 104806.

Research output: Contribution to journal › Research article › Contributed › peer-review

A new computational perceived risk model for automated vehicles based on potential collision avoidance difficulty (PCAD)

He, X., Happee, R. & Wang, M., 30 Jul 2024, In: Transportation Research Part C: Emerging Technologies. 166 (2024), 31 p., 104751.

Research output: Contribution to journal › Research article › Contributed › peer-review

View all research output (58)