Energy-efficient Rail Guided Vehicle Routing for Two-Sided Loading/Unloading Automated Freight Handling System
Wuhua Hu, Jianfeng Mao, Keji Wei

TL;DR
This paper presents an energy-efficient routing method for rail-guided vehicles in automated freight systems, optimizing for energy use while avoiding conflicts and respecting time constraints, with demonstrated improvements over existing heuristics.
Contribution
It introduces a mixed-integer linear programming model for dynamic RGV routing considering energy, conflict avoidance, and time windows, integrating structural properties and a rolling-horizon approach.
Findings
Significant reduction in energy consumption compared to heuristic methods
Effective handling of dynamic cargo entry and departure
Validated through simulation with promising results
Abstract
Rail-guided vehicles (RGVs) are widely employed in automated freight handling system (AFHS) to transport surging air cargo. Energy-efficient routing of such vehicles is of great interest for both financial and environmental sustainability. Given a multi-capacity RGV working on a linear track in AFHS, we consider its optimal routing under two-sided loading/unloading (TSLU) operations, in which energy consumption is minimized under conflict-avoidance and time window constraints. The energy consumption takes account of routing-dependent gross weight and dynamics of the RGV, and the conflict-avoidance constraints ensure conflict-free transport service under TSLU operations. The problem is formulated as a mixed-integer linear program, and solved by incorporating valid inequalities that exploit structural properties of the problem. The static problem model and solution approach are then…
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Taxonomy
TopicsAdvanced Manufacturing and Logistics Optimization · Urban and Freight Transport Logistics · Transportation and Mobility Innovations
