Our Strategy | Trainline plc (LSE: TRN) Through customer insights and research, personalisation, data and machine learning, we invest in designing features that enhance the journeys of our customers at every stage, from planning and booking through to post sales
Trainline Product Strategy Guide | Strategic Roadmap This move reflects the broader industry trend towards integrated mobility solutions and positions Trainline to capitalize on the growing demand for seamless, door-to-door travel planning
Trainline Product Teardown Analysis | Strategy UX Insights We'll evaluate how Trainline addresses customer pain points, leverages technology for competitive advantage, and positions itself in the evolving travel tech landscape Our methodology includes a deep dive into the user journey, feature analysis, and competitive positioning
Managing the Future: Route Planning Influence Evaluation in . . . Route planning and navigation systems have played an increasingly important role in our society and have a growing impact on transportation systems The current system takes the traffic prediction as input and optimizes the routes individually
Stable and robust train routing in station areas with balanced . . . In this paper, we propose a model for stable and robust train routing with the goal to minimize capacity occupation and maximize robustness We define a multi-objective optimization problem and provide the heuristic RouteCare based on a max-plus automata model and a delay propagation model
Modeling train route decisions during track works To better understand the choice behavior of train route schedulers and to predict their choices for optimizing the annual construction schedule, prosp…