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Published byCaren Rose Modified over 9 years ago
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COMMERCIAL MOTOR VEHICLE WEIGHT ENFORCEMENT
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CURRENT CHALLENGES Significant Growth in CMV Traffic Increased congestion and delay Demand for larger and heavier vehicles Mounting stress on infrastructure Greater need for effective and efficient enforcement
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CURRENT CHALLENGES Overweight CMV Travel Premature deterioration of the pavement Increased roadway maintenance costs – Annual state-level costs from $8 to $144 million – Annual national costs from $265 million to $1.11 billion Compromised safety levels
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CURRENT CHALLENGES Personnel Limitations Fixed weigh facilities inflexible to industry travel, loading, routing patterns – Restricted, predictable hours of operation – Vehicle capacity limitations – Successfully bypassed Significant effort expended on compliant carriers – Violation capture rates of 1% on U.S. Interstates
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BACKGROUND 2006 European Scan Tour Emerging technologies Unconventional procedures Novel data applications Innovative funding mechanisms Multinational harmonization THE NETHERLANDS BELGIUM GERMANY FRANCE SLOVENIA SWITZERLAND
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EUROPEAN APPROACH Unique Partnerships Similar agencies of different jurisdictional levels – National and regional law enforcement agencies Different agencies – Transportation, law enforcement, regulatory, and prosecution agencies In The Netherlands, the Ministry of Transport funds 100 additional limited capacity National Police Agency officers who focus 40% and 60% of their time on weight enforcement and congestion/incident management activities, respectively.
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EUROPEAN APPROACH Technology-based Policies/Procedures Pre-selection for manual enforcement – Various countries, supports mobile and fixed operations Enforcement resource scheduling – France, Slovenia, The Netherlands utilize historic WIM data Preventative carrier contacts – France, The Netherlands target habitually non-compliant carriers Pre-selection, enforcement resource scheduling, and preventative carrier contacts often combined to provide comprehensive enforcement approach.
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EUROPEAN APPROACH Bypass prevention – France, The Netherlands support: – site selection – site level system plans Direct enforcement – France, The Netherlands leading efforts – Low-speed and high-speed WIM – Attaining sufficient WIM system accuracy levels – Gaining metrological certification – Modifying existing laws that require static measurements
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SUPPORTING TECHNOLOGIES Overheight Vehicle Detection System Vehicle Profiler System WIM Systems – In-road – Bridge Dynamic Calibration Vehicle Vehicle Identification System Advanced Routing/Permitting System Archived Records Database
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SUPPORTING TECHNOLOGIES In-road WIM System Functions Measures and records axle, gross weight using piezo quartz, piezo ceramic, fiber optic sensors Considerations Provides 24/7 monitoring May be less accurate than traditional WIM systems Low cost supports wider implementation Estimated Cost $9,000 - $32,500 per lane Varies by sensor type, on-site communication requirements Requires additional, ongoing maintenance with associated costs
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SUPPORTING TECHNOLOGIES Bridge WIM System Functions Measures, records weight using existing structures instrumented with strain transducers/gauges Measures, records axles using traditional sensors or Nothing-on-Road/Free-of-Axle Detector (NORFAD) systems Considerations Requires suitable bridge and location Most successful on short, stiff bridges Structural assessments require transducer calibration Calibration may require specialized expertise Estimated Cost $100,000 - $130,000 per bridge/system Varies by sensor type, on-site communication requirements
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SUPPORTING TECHNOLOGIES Vehicle Identification System Functions Cameras capture vehicle silhouette, license plate images OCR software converts license plate image to numeric data Images/data transmitted via DSRC to portable computer used by enforcement officials Considerations Conversion of license plate images may result in errors Estimated Cost $52,000 - $80,000 per system Varies by camera type, on-site communication requirements
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SUPPORTING TECHNOLOGIES Archived Records Database Functions Supports data-driven enforcement scheduling Supports preventative carrier contacts Supports enhanced data quality Encourages long-term performance monitoring Considerations Requires procedures for quality control Estimated Cost $225,000 - $300,000
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IMPLEMENTATION PRE-SELECTION/ BYPASS PREVENTION Archived Records Database Vehicle Identification System Bridge WIM System In-road WIM System AND/OR DSRC Camera/OCR Computer Interface/Software Weight/Axle Sensors (X Weight Accuracy) Computer Interface/Software Voltage/Axle Sensors (X Weight Accuracy)
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IMPLEMENTATION PRE-SELECTION/ BYPASS PREVENTION RESOURCE SCHEDULING/ PREVENTATIVE CONTACTS Archived Records Database Vehicle Identification System Bridge WIM System In-road WIM System AND/OR DSRC Camera/OCR Database DSRC Camera/OCR Computer Interface/Software Weight/Axle Sensors (X Weight Accuracy) Computer Interface/Software Weight/Axle Sensors (X Weight Accuracy) Computer Interface/Software Voltage/Axle Sensors (X Weight Accuracy) Computer Interface/Software Voltage/Axle Sensors (X Weight Accuracy)
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IMPLEMENTATION PRE-SELECTION/ BYPASS PREVENTION RESOURCE SCHEDULING/ PREVENTATIVE CONTACTS DIRECT ENFORCEMENT Archived Records Database Vehicle Identification System Bridge WIM System In-road WIM System AND/OR Database DSRC Camera/OCR Database DSRC Camera/OCR DSRC Camera/OCR Computer Interface/Software Weight/Axle Sensors (X Weight Accuracy) Computer Interface/Software Weight/Axle Sensors (X Weight Accuracy) Computer Interface/Software Weight/Axle Sensors (Y Weight Accuracy) Computer Interface/Software Voltage/Axle Sensors (X Weight Accuracy) Computer Interface/Software Voltage/Axle Sensors (X Weight Accuracy)
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BENEFITS Increased violation capture rates – The Netherlands reported 80% violation capture rate Reduced fixed facility demand, mainline safety/ congestion concerns Reduced harmful emissions from static weighing Significant infrastructure damage cost savings – Montana reported $700,000 annual cost savings from technology-based, enforcement resource scheduling
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FUNCTIONAL INTERFACE
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QUESTIONS
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