Transportmetrica B-Transport Dynamics

Papers
(The H4-Index of Transportmetrica B-Transport Dynamics is 11. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Relaxation methods for fixed route demand responsive transit22
HoGAT: higher-order graph attention network for pedestrian trajectory prediction20
A bi-Level programming method for SPaT estimation at fixed-time controlled intersections using license plate recognition data19
The bi-mode problem with modular buses and private vehicles in the autonomous driving environment17
Eco-safe coupling effectiveness of the connected mixed platoon in a car-following scenario: a driving simulation study15
Evaluating urban rail travel reservation strategy: a dynamic passenger flow simulation approach14
Predicting vehicle trajectory of non-lane based driving behaviour with Temporal Fusion Transformer14
Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data14
Dynamic and heterogeneity-sensitive urban network partitioning: a data-driven technique13
Dynamic traffic assignment in a bi-dimensional model12
The effect of local platoon control strategy on the stability of mixed traffic flow12
Left-turn queue spillback identification based on single-section license plate recognition data11
Behavior recognition in non-motorized traffic using deep embedded contrastive clustering from GPS trajectories11
String instability mitigation of adaptive cruise control without modifying control laws: trajectory shaper and parameter estimation*11
First train timetable synchronization with interval trains in subway networks11
A three-layer hierarchical model-based approach for network-wide traffic signal control11
Hub-and-spoke network design considering multiple delivery requirements under uncertainties11
Enhancing urban resilience: mitigating compound risk through multi-scenario land use optimization11
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