SCIESSCISCOPUSQ2
Transportmetrica B-Transport Dynamics
TAYLOR & FRANCIS LTD, United Kingdom
Transportmetrica B-Transport Dynamics is an academic journal published by TAYLOR & FRANCIS LTD (United Kingdom). Identifiers: ISSN 2168-0566, eISSN 2168-0582. Indexed in SCIE, SSCI, SCOPUS. Metrics: JIF 3.4, CiteScore 6.0, SJR 1.043, SNIP 1.15. Subject areas: TRANSPORTATION, TRANSPORTATION SCIENCE & TECHNOLOGY. tlooto lists 724 papers from this journal.
CiteScore
6.00
Scopus citation metric
SJR
1.043
SCImago rank
SNIP
1.15
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2168-0566
- eISSN
- 2168-0582
- Abbreviation
- TRANSPORTMETRICA B
- Publisher
- TAYLOR & FRANCIS LTD
- Country
- United Kingdom
Web of Science categories
SCIETRANSPORTATION SCIENCE & TECHNOLOGY
SSCITRANSPORTATION
Scopus ASJC categories
17122611 Modeling and Simulation3313 Transportation
Keywords
TransportationTransportation Science & Technology
Papers in this journal
Recent papers
- APSO-enhanced algebraic derivative estimation approach for real-time traffic flow prediction on critical road sections during wildfire evacuation
2026
- Multi-objective traffic signal control considering pedestrian crossings via constraints-decoupled reinforcement learning
2026
- Adaptive bus service scheduling with stochastic running times via an adversarial reinforcement learning approach
2026
- Integrated travel and charging analyses under incentive strategy in dynamic congested networks
2026
- Resilience of traffic networks to route guidance attacks: the role of driver behaviour heterogeneity
2026
Most cited papers
- A review of system dynamics models applied in transportation
2014 · 301 citations
- Delay-compensating strategy to enhance string stability of adaptive cruise controlled vehicles
2018 · 131 citations
- Stability of CACC-manual heterogeneous vehicular flow with partial CACC performance degrading
2018 · 126 citations
- Travel through time: the story of research on travel time reliability
2013 · 118 citations
- A novel work zone short-term vehicle-type specific traffic speed prediction model through the hybrid EMD–ARIMA framework
2016 · 113 citations