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The pothole patrol: using a mobile sensor network for road surface monitoring

Published: 17 June 2008 Publication History

Abstract

This paper investigates an application of mobile sensing: detecting and reporting the surface conditions of roads. We describe a system and associated algorithms to monitor this important civil infrastructure using a collection of sensor-equipped vehicles. This system, which we call the Pothole Patrol (P2), uses the inherent mobility of the participating vehicles, opportunistically gathering data from vibration and GPS sensors, and processing the data to assess road surface conditions. We have deployed P2 on 7 taxis running in the Boston area. Using a simple machine-learning approach, we show that we are able to identify potholes and other severe road surface anomalies from accelerometer data. Via careful selection of training data and signal features, we have been able to build a detector that misidentifies good road segments as having potholes less than 0.2% of the time. We evaluate our system on data from thousands of kilometers of taxi drives, and show that it can successfully detect a number of real potholes in and around the Boston area. After clustering to further reduce spurious detections, manual inspection of reported potholes shows that over 90% contain road anomalies in need of repair.

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  • (2024)Domain-Agnostic Representation of Side-ChannelsEntropy10.3390/e2608068426:8(684)Online publication date: 13-Aug-2024
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  1. The pothole patrol: using a mobile sensor network for road surface monitoring

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      cover image ACM Conferences
      MobiSys '08: Proceedings of the 6th international conference on Mobile systems, applications, and services
      June 2008
      304 pages
      ISBN:9781605581392
      DOI:10.1145/1378600
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      Published: 17 June 2008

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      Author Tags

      1. mobile sensing
      2. road surface monitoring

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      • (2024)Abnormal Pavement Condition Detection with Vehicle Posture Data Considering Speed VariationsSensors10.3390/s2414455524:14(4555)Online publication date: 14-Jul-2024
      • (2024)A Vibration-Based Methodology to Monitor Road Surface: A Process to Overcome the Speed EffectSensors10.3390/s2403092524:3(925)Online publication date: 31-Jan-2024
      • (2024)Domain-Agnostic Representation of Side-ChannelsEntropy10.3390/e2608068426:8(684)Online publication date: 13-Aug-2024
      • (2024)BIZON–UGV for Airport Pavement Testing: Mechanics and ControlApplied Sciences10.3390/app1406247214:6(2472)Online publication date: 15-Mar-2024
      • (2024)Physics-Informed Road Monitoring and Suspension Control Using Crowdsourced Vehicle Data2024 European Control Conference (ECC)10.23919/ECC64448.2024.10590862(699-704)Online publication date: 25-Jun-2024
      • (2024)Drive-by Environmental Sensing Strategy to Reach Optimal and Continuous Spatio-Temporal Coverage Using Local Transit NetworkTransportation Research Record: Journal of the Transportation Research Board10.1177/03611981241247051Online publication date: 23-May-2024
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      • (2024)An MCS Navigation System Based on Road Surface Quality for Bicycle Riders2024 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP61445.2024.00038(125-132)Online publication date: 29-Jun-2024
      • (2024)Pothole Sensing and Depth Estimation System using Deep Learning Technique2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.010.1109/OTCON60325.2024.10687877(1-4)Online publication date: 5-Jun-2024
      • (2024)Smartphone-Based IRI Estimation for Pavement Roughness Monitoring: A Data-Driven ApproachIEEE Internet of Things Journal10.1109/JIOT.2024.336910911:11(19708-19720)Online publication date: 1-Jun-2024
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