EconPapers    
Economics at your fingertips  
 

Address Matching Using Truck Tours Feedback

Dalicia Bouallouche, Jean-Baptiste Vioix, Stéphane Millot and Eric Busvelle

A chapter in Operational Excellence in Logistics and Supply Chains: Optimization Methods, Data-driven Approaches and Security Insights, 2015, pp 391-418 from Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management

Abstract: When researchers or logistics software developers deal with vehicle routing optimization, they mainly focus on minimizing the total traveled distance or time of the tours, and maximizing the number of visited customers. However, in real transporter situations, the actual data received is often of bad quality, particularly the irrelevance of addresses and address geocoding errors. Therefore, trying to optimize tours with impertinent customers' GPS-coordinates, which are the most important input data for solving a vehicle routing problem, will lead to an incoherent solution, especially if the locations of the customers used for the optimization are very different from their real positions. Our work is supported by a logistics software editor Tedies (2013) and a transport company Upsilon (2009). We work with the company's real truck routes data to carry our experiments. The aim of this work is to use the experience of the driver and the feedback of the real truck tours to validate and correct GPS-coordinates to the next tours. Our method significantly improves the quality of the geocoding. This study shows the importance of taking into account the feedback of the trucks to gradually correct address geocoding errors. Indeed, the accuracy of customer's address and its GPS-coordinates plays a major role in tours optimization. This feedback is naturally and usually taken into account by transporters (by asking drivers, calling customers, …), to learn about their tours and bring corrections to the upcoming tours. Hence, we develop a method to do most of that automatically.

Keywords: Driver Experience Feedback; Geocoding Correction; Real Truck Tours; Address Matching (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/209293/1/hicl-2015-22-391.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:hiclch:209293

Access Statistics for this chapter

More chapters in Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL) from Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics (econstor@zbw-workspace.eu).

 
Page updated 2025-03-22
Handle: RePEc:zbw:hiclch:209293