A Branch-and-Bound Approach to the Traveling Salesman Problem with a Drone

Poikonen, Stefan; Golden, Bruce L.; Wasil, Edward

doi:10.1287/ijoc.2018.0826

Cited by 176 publications

(116 citation statements)

References 6 publications

Supporting

Mentioning

115

Contrasting

Unclassified

Order By: Relevance

“…The authors present a (static) traveling salesman problem (TSP) with “sidekick,” where the sidekick is a drone carried on a delivery vehicle and the drone is sent to serve customers while the vehicle is on the road. Similar problems are considered in Ferrandez et al ; Agatz et al ; Ha et al ; Ponza ; Dorling et al , Poikonen et al , and Poikonen et al . Murray and Chu further introduce the parallel drone scheduling TSP (PDSTSP).…”

Section: Literature Reviewmentioning

confidence: 94%

Same‐day delivery with heterogeneous fleets of drones and vehicles

2018

View full text Add to dashboard Cite

In this paper, we analyze how drones can be combined with regular delivery vehicles to improve same‐day delivery performance. To this end, we present a dynamic vehicle routing problem with heterogeneous fleets. Customers order goods over the course of the day. These goods are delivered either by a drone or by a regular transportation vehicle within a delivery deadline. Drones are faster, but have a limited capacity as well as require charging after use. In the same‐day context, vehicle capacity is not a constraint, but vehicles are slow due to urban traffic. To decide whether an order is delivered by a drone or by a vehicle, we present a policy function approximation based on geographical districting. Our computational study reveals two major implications. First, geographical districting is highly effective increasing the expected number of same‐day deliveries. Second, a combination of drone and vehicle fleets may significantly reduce the required delivery resources.

show abstract

Section: Literature Reviewmentioning

confidence: 94%

Same‐day delivery with heterogeneous fleets of drones and vehicles

2018

View full text Add to dashboard Cite

show abstract

“…In this context, unmanned electric transportation represents an excellent choice for city logistics. truck and drone delivery: one where the truck only serves as a mobile platform for launching and recovering the drone (Carlsson and Song 2017, Luo et al 2017, Yu et al 2018, Karak and Abdelghany 2019, Poikonen and Golden 2020, and a second system where the truck also serves customers (Murray and Chu 2015, Poikonen et al 2017, Wang et al 2017, Pugliese and Guerriero 2017, Schermer et al 2019a,b, Karak and Abdelghany 2019, Wang and Sheu 2019, Sacramento et al 2019, Poikonen et al 2019, Murray and Raj 2019.…”

Section: Urban Deliveriesmentioning

confidence: 99%

Two-echelon urban deliveries using autonomous vehicles

Puchinger

Sun

2020

Transportation Research Part E: Logistics and Transportation Re

View full text Add to dashboard Cite

We introduce a two-echelon urban delivery problem with second-level unmanned vehicles. This problem typically applies for delivering parcels or other small commodities to pedestrianized areas such as campuses or residential clusters. To model the proposed vehicle routing problem, we introduce a mixed-integer program. We further propose construction heuristics and a hybrid metaheuristic approach with backtracking for solving larger instances. A sensitivity analysis for vehicle speed combinations reveals that increasing small autonomous vehicle (SAV) speeds has only very limited effects on cost. We therefore recommend to keep SAV speeds rather low because of a more pedestrian friendly environment in practical implementations.

show abstract

“…There has been growing interest in studying the planning and operations pertaining to the application of automated driving technology not just on roads (Mahmassani 2016), but also on water (Colling and Hekkenberg 2020), air (Richert and Cortés 2013), and even a mix of roads and air, for example, with drones (Poikonen and Golden 2020, Poikonen et al 2019, Otto et al 2018. In this section, we restrict ourselves to platooning and discuss the most relevant and recent literature on truck platoon planning.…”

Section: Related Literaturementioning

confidence: 99%