TY  - CHAP
A1  - Münst, Philipp
A1  - Damer, Lara
A1  - Meier, Selina
A1  - Graef, Marcel
A1  - Voßwinkel, Rick
A2  - Shafik, Mahmoud
T1  - Pipeline for Modeling Urban Traffic Density as the Data Basis for Micrologistics and Autonomous Delivery Robots: Project MoVMi
T2  - Emerging Cutting-Edge Applied Research and Development in Intelligent Traffic and Transportation Systems : Proceedings of the 8th International Conference on Intelligent Traffic and Transportation (ICITT), Incorporating the 8th International Conference on Communication and Network Technology (ICCNT), Florence, Italy, 16-18 September 2024
N2  - This paper presents a framework for modeling urban traffic density to support micrologistics using automated guided vehicles (AGV), more specifically autonomous delivery robots (ADR). The project MoVMi integrates survey data, pedestrian simulations using SUMO, and AGV interaction modeling in CARLA to optimize last-mile delivery in urban environments. Our approach addresses challenges such as congestion and access restrictions, and balances routing efficiency with delivery time windows. The framework’s adaptability allows application in various cities globally, enhancing urban freight transportation and sustainability. Future work will refine models with real-time data and extend applicability to diverse urban settings.
T3  - Advances in Transdisciplinary Engineering - 63 
Y1  - 2024
UR  - https://libdoc.fh-zwickau.de/opus4/frontdoor/index/index/docId/17997
SN  - 9781643685601
SN  - 2352-751X
SP  - 360
EP  - 369
PB  - IOS Press
CY  - Amsterdam
ER  -