Transportmetrica A-Transport Science

Papers
(The H4-Index of Transportmetrica A-Transport Science is 12. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
Special issue on advances in supernetwork modelling and mobility pattern analysis27
Analysis of a multiplicative hybrid route choice model in stochastic assignment paradox25
Comparison of the stepping behavior for elderly group with or without horizontal interaction24
Gait analysis and avoidance mechanism of pedestrians under the quantitative control of visibility20
Improving car-following model to capture unobserved driver heterogeneity and following distance features in fog condition20
Understanding patterns of moped and seated motor scooter (50 cc or less) involved fatal crashes using cluster correspondence analysis18
Heterogeneous vehicle scheduling with precedence constraints16
A maximum entropy optimization model for origin-destination trip matrix estimation with fuzzy entropic parameters15
Evaluating the impact of waiting time reliability on route choice using smart card data15
Moving beyond assumptions: stop times and key determinants for pick-ups and drop-offs in ridepooling systems14
New data-driven approach to generate typologies of road segments13
Spatiotemporal clustering for the impact region caused by a traffic incident: an improved fuzzy C-means approach with guaranteed consistency13
An uncertainty cognition-based game model for lane-changing process in mixed driving environment12
Efficient asymmetric reposition strategy of rolling stock for urban rail transit systems12
The real-time dynamic online feeder service with a maximum headway at mandatory stops12
Computational graph-based framework for integrating econometric models and machine learning algorithms in emerging data-driven analytical environments12
Traffic efficiency and fairness optimisation for autonomous intersection management based on reinforcement learning12
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