Dynamic capacity allocation of hybrid transportation units for cargo-hitching in urban public transportation systems
Paul Bischoff, Benedikt Lienkamp, Tarun Rambha, Maximilian Schiffer

TL;DR
This paper introduces an algorithmic framework for designing hybrid transportation units in urban public transit systems to enable cargo-hitching, increasing utilization during off-peak hours while maintaining service quality.
Contribution
It develops a novel network design algorithm for cargo-hitching with hybrid units, scalable to real city networks, with a case study on Munich's subway system.
Findings
Algorithm outperforms commercial solvers by six times in scalability.
Cargo-hitching increases off-peak utilization without reducing passenger service.
Cost-effectiveness depends on externality and loading costs, with specific thresholds identified.
Abstract
To improve the utilization of public transportation systems (PTSs) during off-peak hours, we present an algorithmic framework that designs PTSs with hybrid transportation units (HTUs), which can transport passengers or freight by leveraging a flexible interior. Against this background, we study a capacitated network design problem to enable cargo-hitching in existing PTSs. Specifically, we study a setting with fixed vehicle routes and timetables in which vehicles can be equipped with HTUs to enable cargo-hitching. We optimize the network design from a total cost perspective to account for normalized network design costs tied to the investment in HTUs and freight routing costs. We present an algorithmic framework that encodes some of the problem's constraints in a spatially and temporally expanded, layered graph, and solves the resulting network design problem with a price-and-branch…
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Taxonomy
TopicsTransportation Planning and Optimization · Transportation and Mobility Innovations · Urban and Freight Transport Logistics
