Paper Info
Title
Path Planning For Wheel Loaders: A Discrete Optimization Approach
Abstract
In construction projects, wheel loader is widely used for transporting building materials. The operations of wheel loader contain extensively repetitive tasks that could be optimized and automated for sustainable construction. This paper proposes, according to optimal control theory, an optimization approach for the loading cycle concerning fuel efficiency and environmental impacts. Based on a 2D space discretization and a detailed wheel loader model, a dynamic programming approach is formulated for optimal path search. The method is effective for integrating the system models with the path planning algorithm and for handling objective functions and constraints. A case study was carried out to demonstrate the application of the proposed algorithm for the loading cycle with spatial constraints.
Year
Venue
Field
2017
2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
Motion planning,Dynamic programming,Discretization,Mathematical optimization,Optimal control,Discrete optimization,Simulation,Loader,Vehicle engineering,Fuel efficiency,Engineering
DocType
ISSN
Citations 
Conference
2153-0009
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Beichuan Hong100.34
Xiaoliang Ma218218.51