Sökning: "Vehicle optimization"
Visar resultat 1 - 5 av 306 uppsatser innehållade orden Vehicle optimization.
1. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. LÄS MER
2. Space Utilization in Road Transportation: A Case Study of Truck Deliveries
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Aim: To understand why big logistics companies do not focus their resources on improving space utilization and decreasing the phenomenon of empty running. Moreover, this study aims to present the potential economic and environmental benefits of reduced excess air in packaging and its effect on truck deliveries. LÄS MER
3. Battery profit optimization
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Industriell elektroteknik och automationSammanfattning : In the near future, a new market will form full of 2nd life batteries that are no longer suitable to use in electric vehicles. This since their capacity retention is too low after a few years of usage, as a consequence of two aging mechanisms; cycling aging and calendar aging. LÄS MER
4. Customizable Contraction Hierarchies for Mixed Fleet Vehicle Routing : Fast weight customization when not adhering to triangle inequality
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As the transport industry shifts towards Battery Electric Vehicles (BEVs) the need for accurate route planning rises. BEVs have reduced range compared to traditional fuel based vehicles, and the range can vary greatly depending on ambient conditions and vehicle load. LÄS MER
5. Route Planning of Battery Electric Heavy-Duty Commercial Vehicles : Using Contraction Hierarchies and Mixed Integer Programming
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/DatalogiSammanfattning : This thesis addresses route planning of Battery Electric Heavy-Duty Commercial Vehicles to enhance the reliability of electric vehicle transport. Collaborating with Scania, a Swedish truck manufacturing company, the goal is to develop a pipeline that uses open source data from OpenStreetMap and performs a modified Contraction Hierarchy in order to create a graph that can be used as input to a modified Vehicle Routing Problem formulation using Mixed Integer Programming. LÄS MER