IET Intelligent Transport Systems
IET Intelligent Transport Systems is a journal indexed in SJR in Environmental Science (miscellaneous) and Mechanical Engineering with an H index of 72. It has an SJR impact factor of 0,678 and it has a best quartile of Q1. It has an SJR impact factor of 0,678.
Metrics
Scimago and CountryOfPapers database fields
SJR Impact
0,678
H-index
72
Docs (year)
186
Docs 3y
404
Total refs
9083
Cites 3y
1625
Citable 3y
402
Cites/Doc 2y
3.68
Ref/Doc
48.83
Immediate OA
—
Embargoed OA
NPD
Non OA / Submission
—
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Researcher reviews
Best articles by citations
Bayesian place recognition based on bag of objects for intelligent vehicle localisation
View moreVision-aided Intelligent Vehicle Sideslip Angle Estimation Based on Dynamic Model
View moreData-driven next destination prediction and ETA improvement for urban delivery fleets
View moreData-driven approach for identifying spatiotemporally recurrent bottlenecks
View moreCooperative ITS communications architecture: the FOTsis project approach and beyond
View moreConsistency and sensitivity of lane change test according to driving simulator characteristics
View moreConcept of controlling the usage of nomadic devices in highly automated vehicles
View moreComputing journey start times with recurrent traffic conditions
View moreComprehensive chassis control strategy of FWIC-EV based on sliding mode control
View moreCognitive intelligence of highly automated vehicles in a car-sharing context
View moreCharacteristics of wrong-way driving on motorways in Japan
View moreBus rapid transit system deployment for high quality and cost-effective transit service: a comprehensive review and comparative analysis
View moreBig spatio-temporal data mining for emergency management information systems
View moreA Gaussian mixture model and support vector machine approach to vehicle type and colour classification
View moreAutonomous collision avoidance system based on accurate knowledge of the vehicle surroundings
View moreApplying the RESPONSE Code of Practice for evaluation of driver assistance systems: driver age and perception of steering torque signals
View moreApplication of grey relational analysis for evaluating road traffic safety measures: advanced driver assistance systems against infrastructure redesign
View moreAnalysis of the robustness of terminal turnaround arrangements for railways
View moreAn Integrated Strategy for Vehicle Dynamics Stability Considering the Uncertainties of Side-slip Angle
View moreAn event-triggered intelligent energy management strategy for plug-in hybrid electric buses based on vehicle cloud optimization
View moreAmitran methodology framework for evaluating the impact of information and communication technology-based measures on CO2 emissions in the transport field
View moreAlgorithm and peer-to-peer negotiation strategies for train dispatching problems in railway bottleneck sections
View moreAirport ramp safety and intelligent transport systems
View moreAdaptive policy approach to implementing intelligent speed adaptation
View more