Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Guidebook on Machine Learning Techniques for Road Quality Monitoring

Guidebook on Machine Learning Techniques for Road Quality Monitoring

Asian Development Bank

Paperback

Business GeneralGeography

ISBN10: 9292772309
ISBN13: 9789292772307
Publisher: Asian Development Bank
Published: Mar 25 2025
Pages: 156
Weight: 1.11
Height: 0.42 Width: 8.50 Depth: 11.00
Language: English

This publication highlights opportunities to harness geospatial data and machine learning algorithms to monitor rural roads efficiently to support connectivity.

Resilient all-weather roads enable crucial access to services and economic opportunities, yet assessing and monitoring road quality can be costly and time-consuming. This publication explains how smartphones, open-source satellite imagery, and artificial intelligence can be used to augment traditional surveys to improve road data in cost-effective and efficient ways. It draws on a study developed in collaboration with the World Data Lab and the governments of the Philippines and Thailand, supported by the Japan Fund for Prosperous and Resilient Asia and the Pacific.

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Geography

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