Truck Emissions at Container Terminals

Port of Singapore

Freight and transportation are large producers of emissions and considered a good area to target for emissions reduction. How though? A new paper from Transportation Research Part E: Logistics and Transportation Review examines how queing optimization can help. "Reducing truck emissions at container terminals in a low carbon economy: Proposal of a queueing-based bi-objective model for optimizing truck arrival pattern," estimate emissions produced during truck idling and wait times at ports. 

This study proposes a methodology to optimize truck arrival patterns to reduce emissions from idling truck engines at marine container terminals. A bi-objective model is developed minimizing both truck waiting times and truck arrival pattern change. The truck waiting time is estimated via a queueing network. Based on the waiting time, truck idling emissions are estimated. The proposed methodology is evaluated with a case study, where truck arrival rates vary over time. We propose a Genetic Algorithm based heuristic to solve the resulting problem. Result shows that, a small shift of truck arrivals can significantly reduce truck emissions, especially at the gate.

You can read the full paper here