Work

Finding optimal solutions for vehicle routing problem with pickup and delivery services with time windows: A dynamic programming approach based on state–space–time network representations

Year: 2016

Type: article

Source: Transportation Research Part B Methodological

DOI: 10.1016/j.trb.2016.03.009

Authors: Monirehalsadat Mahmoudi, Xuesong Zhou

Institution: Arizona State University

Language: English

Topic: Vehicle Routing Optimization Methods

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: bronze

Funders: National Science Foundation, Northwestern University, Arizona State University, Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Northwestern University Transportation Center, Division of Civil, Mechanical and Manufacturing Innovation

Awards: G4280961351, G4296348995, G443604224, G5152746147, G5403287385, Collaborative Research: Improving Spatial Observability of Dynamic Traffic Systems through Active Mobile Sensor Networks and Crowdsourced Data

OpenAlex ID: W2964290823

FWCI: 26.34

Cites: 65

Cited by: 327

Related to: 10