Autonomous Cargo Bike Fleets – Approaches for AI-Based Trajectory Forecasts of Road Users
Automated cargo bikes are intended to complement public transportation in a sharing concept and provide an alternative transportation option for people and goods. In highly automated driving without a seated user, real-time trajectory prediction of other road users is crucial for collision avoidance...
Main Authors: | Sass Stefan, Höfer Markus, Schmidt Michael, Schmidt Stephan |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2023-02-01
|
Series: | Transport and Telecommunication |
Subjects: | |
Online Access: | https://doi.org/10.2478/ttj-2023-0006 |
Similar Items
-
Data-Driven Approach for Defining Demand Scenarios for Shared Autonomous Cargo Bike Fleets
by: Malte Kania, et al.
Published: (2023-12-01) -
Autonomous driving cargo bikes – Introducing an acceptability-focused approach towards a new mobility offer
by: Karen Krause, et al.
Published: (2020-07-01) -
Determinants of the acceptability of autonomous (cargo) mobility
by: Karen Kastner, et al.
Published: (2021-09-01) -
Towards Sustainable Liveable City: Management Operations of Shared Autonomous Cargo-Bike Fleets
by: Imen Haj Salah, et al.
Published: (2021-10-01) -
Urban Environment’s Contributory Factors for the Adoption of Cargo Bike Usage: A Systematic Literature Review
by: Ioannis Chatziioannou, et al.
Published: (2024-01-01)