Cargo Bike Routing for Last Mile Delivery - rCITI Guest Lecturer - Dr Pirmin Fontaine

24 June 2019 - 11:00am to 12:00pm
Kensington Campus, Civil Engineering Building (H20), Level 1, Room 109
Cities, retailers, and delivery services are trying to find more environmental friendly solutions for last mile delivery. One very promising and partly used option are cargo bikes. A critical factor of cargo bikes is their travel speed, which depends on the mass of the load and the slope of the chosen streets. Therefore, we define load-dependent travel speed and introduce the Vehicle Routing Problem with Load-Dependent Travel Times. 
We develop a mixed-integer programming formulation and show the benefits of considering load-dependent travel times in last mile delivery with cargo bikes. For the numerical study, we introduce a new set of instances and show that we can reduce the travel time by 4.5% on average and up to 22% compared to the classical Capacitated Vehicle Routing Problem with Time Windows. Moreover, ignoring the load-dependent travel times can lead to the underestimation of travel time in such a way that time windows are violated.
Dr Pirmin Fontaine is senior research associate at the Chair of Logistics and Supply Chain Management, Technical University of Munich, Germany. He studied Mathematics at and received his doctoral degree from the Technical University of Munich. After that he was a postdoctoral fellow at the University of Quebec in Montreal and researcher at the CIRRELT. His primary research interests are urban logistics, network design, and smart mobility concepts. In recent research projects, Pirmin Fontaine is looking into new concepts for last-mile city logistics.


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