TrajRoute: Rethinking Routing with a Simple Trajectory-Based Approach -- Forget the Maps and Traffic!
Maria Despoina Siampou, Chrysovalantis Anastasiou, John Krumm, Cyrus, Shahabi

TL;DR
TrajRoute introduces a trajectory-based routing method that leverages raw vehicle trajectory data to compute efficient, real-world routes without relying on traditional road network graphs, reducing maintenance costs.
Contribution
The paper presents a novel trajectory-based routing paradigm that directly uses raw trajectory data and road network information, bypassing complex graph construction and updates.
Findings
TrajRoute improves route accuracy with more trajectory data.
The method reduces reliance on traditional road network graphs.
It offers a lower-maintenance alternative to existing routing systems.
Abstract
The abundance of vehicle trajectory data offers a new opportunity to compute driving routes between origins and destinations. Current graph-based routing pipelines, while effective, involve substantial costs in constructing, maintaining, and updating road network graphs to reflect real-time conditions. In this study, we propose a new trajectory-based routing paradigm that bypasses current workflows by directly utilizing raw trajectory data to compute efficient routes. Our method, named TrajRoute, uniquely "follows" historical trajectories from a source to a destination, constructing paths that reflect actual driver behavior and implicit preferences. To supplement areas with sparse trajectory data, the road network is also incorporated into TrajRoute's index, and tunable parameters are introduced to control the balance between road segments and trajectories, ensuring a unified and…
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Taxonomy
TopicsData Management and Algorithms · Vehicular Ad Hoc Networks (VANETs) · Geographic Information Systems Studies
