Estimation of Accurate Path Length with Geospatial Data Analysis
Rapport, 2024
The core objectives of this study included creating a backend system to process and sort road data, deploying multiple path length estimation methods, and quantifying their accuracy using standard measures. The performance of each method was showcased through a case study, highlighting their effectiveness in different scenarios. Additionally, the study developed a deterministic Operating Cycle (dOC) model to encapsulate road data and facilitate residual range prediction in simulations. For the complete code, click the button in the top right corner "view online".
dOC
Path length estimation
Road data
Författare
Carl Emvin
Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system
Yogeswaran Amsavalli
Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system
Fredrik Bruzelius
Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system
Bengt J H Jacobson
Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system
Rickard Andersson
Volvo Group
Nytta och förtroende för elektriska fordon (U-FEEL)
Volvo Group, 2022-10-01 -- 2025-09-30.
Scania CV AB, 2022-10-01 -- 2025-09-30.
Volvo Group, 2022-10-01 -- 2025-09-30.
Energimyndigheten (P2022-00948), 2022-10-01 -- 2025-09-30.
Volvo Cars, 2022-10-01 -- 2025-09-30.
Styrkeområden
Transport
Ämneskategorier
Farkostteknik
Utgivare
Chalmers