{ "id": "AIBD-0104", "title": "LAARMA AI roadside alerts cut cassowary road deaths in Queensland trial", "summary": "TMR three-month trial at Kuranda: 97% cassowary detection, drivers slowed 6.6 km/h, fatal crashes down 31% (reported 30 July 2025).", "date_observed": "2025-07-30", "date_basis": "unassessed", "date_precision": "unassessed", "benefit_status": null, "source_collection": null, "source_entry": null, "account": "The Large Animal Activated Roadside Monitoring and Alert System (LAARMA) was developed by the University of Sydney's Australian Centre for Robotics and QUT's CARRS-Q. They worked with the Queensland Department of Transport and Main Roads (TMR) under an iMOVE project. It uses a machine-learning pipeline to detect large animals up to 200 m away and triggers roadside variable message signs. The ABC reported on 30 July 2025 that TMR had used the AI for three months at a busy cassowary crossing. That is on the Kennedy Highway at Kuranda, Far North Queensland. Trial dates are not given. The consortium's iMOVE project page instead describes a five-month field trial: three months of data collection, then two months of on-road trialling. TMR told the ABC that the system identified cassowaries with 97 percent accuracy. It said drivers slowed by an average of 6.6 km/h at the flashing sign and fatal crashes fell 31 percent during the trial. The iMOVE page reports speed reductions averaging 6.30 km/h and 5.06 km/h at two test sites and gives no collision figure. About two dozen cassowaries were killed on Queensland roads the previous year.", "category": "general benefit", "unexpected": false, "purpose": "Detect large animals near the road in real time and warn drivers via variable message signs to reduce animal-vehicle collisions.", "system": "Large Animal Activated Roadside Monitoring and Alert System (LAARMA)", "model_version": null, "developer": "University of Sydney Australian Centre for Robotics and QUT CARRS-Q", "deployer": "Queensland Department of Transport and Main Roads", "location": "Kuranda, Australia", "domain": "Conservation and biodiversity", "segment": "Wildlife-vehicle collision prevention", "benefit_type": "Increased Product Safety", "taxonomy_note": "The crashes cut are vehicle strikes on an endangered bird, so the gain is shared with conservation.", "registry_ids": {}, "ratings": [ { "group": "personal", "depth": null, "reason": "Trial-level aggregate (speed reduction, 31 percent fewer fatal crashes) with no discrete attributable event." }, { "group": "organizational", "depth": null, "reason": "Aggregate program result reported by the operating agency." }, { "group": "societal", "depth": null, "reason": "Aggregate result over a three-month trial. Baseline and statistical detail not published." } ], "ai_role": { "status": "assessed", "statement": "Machine-learning detection of cassowaries activated the warning signs. TMR attributes the speed reduction and the 31 percent fall in fatal crashes to the system. But the figures are trial aggregates without a peer-reviewed analysis. The 31 percent figure is reported only by the ABC citing TMR. The consortium's project page reports detection and speed results without a collision figure." }, "evidence": [ { "kind": "news report", "citation": "ABC News (2025). Artificial intelligence used to reduce cassowary road deaths in Queensland.", "title": "Artificial intelligence used to reduce cassowary road deaths in Queensland", "url": "https://www.abc.net.au/news/2025-07-30/ai-saves-cassowary-lives-reducing-vehicle-strikes-far-north-qld/105589446", "date": "2025-07-30", "written_by": "independent", "quote": "The technology was 97 per cent accurate in identifying the bird, which led to a 31 per cent decrease in fatal crashes, the department said." }, { "kind": "press release", "citation": "iMOVE Australia CRC (n.d.). Large Australian animals and cars: Safety for all. Project page with final reports.", "title": "Large Australian animals and cars: Safety for all", "url": "https://imoveaustralia.com/project/large-australian-animals-and-cars-safety-for-all/", "date": "2025-07-28", "written_by": "makers", "quote": "Partners with iMOVE on this research were the Department of Transport and Main Roads (Queensland), the University of Sydney's Australian Centre for Robotics, and the Queensland University of Technology's CARRS-Q." }, { "kind": "news report", "citation": "Tech Xplore (2025). Researchers develop world's first AI roadside technology to prevent animal–vehicle collisions.", "title": "Researchers develop world's first AI roadside technology to prevent animal–vehicle collisions", "url": "https://techxplore.com/news/2025-08-world-ai-roadside-technology-animalvehicle.html", "date": "2025-08-06", "written_by": "independent", "quote": "the system was correctly detecting animals 78.5% of the time within 100 meters" } ], "replication": { "produced_by": [ "A known animal crossing hotspot with high strike rates", "Self-training detection pipeline that improved over the trial", "Variable message signs drivers can see in time to slow" ], "must_hold": [ "Detection accuracy on the target species", "Driver compliance with flashing warnings", "Permanent funding, which TMR said it was still pursuing" ], "echoes": [ { "date": "2026-10-20", "setting": "Virginia Route 460 thermal-camera AI pilot (VTTI/VDOT): 3 mph speed reduction, collisions not measured", "model_version": null, "outcome": "unknown", "source": "https://techxplore.com/news/2026-10-real-driver-animal-collisions.html" } ] }, "paired_incident": { "database": "AI Incident Database", "identifier": "1678", "title": "Avride Autonomous Vehicle Reportedly Struck and Killed Nesting Duck Near Mueller Lake Park in Austin, Texas", "url": "https://incidentdatabase.ai/cite/1678", "severity": null, "group": "societal", "basis": "Autonomous vehicle's perception system did not detect or slow for a nesting duck and killed it; LAARMA exists to detect cassowaries at roadsides and slow drivers." }, "headline": "LAARMA alerts cut fatal crashes 31% in Kuranda cassowary trial", "metric": "fatal crashes fell 31 percent during the trial", "comparator": { "against": "fatal cassowary vehicle strikes at the Kuranda crossing before the three-month AI trial, per the department (a speed-limit cut from 80 to 60 km/h for cyclone repair works coincided)", "before": "not stated", "after": "31 per cent decrease in fatal crashes", "basis": "measured", "quote": "The technology was 97 per cent accurate in identifying the bird, which led to a 31 per cent decrease in fatal crashes, the department said.", "url": "https://www.abc.net.au/news/2025-07-30/ai-saves-cassowary-lives-reducing-vehicle-strikes-far-north-qld/105589446" }, "later": { "status": "unknown", "date": null, "note": "The ABC reported that the equipment would be removed from the site after the trial while funding for a rollout was discussed with research partners; no later deployment was found.", "quote": null, "url": null }, "value": null, "developer_country": "Australia", "deployer_country": "Australia", "unrated_because": null, "brief_notes": null, "brief": null, "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the cited sources.", "source": null, "editor": "AIBD" }, { "date": "2026-10-20", "change": "Paired with AI Incident Database incident 1678 (medium confidence); severity not given by the source.", "source": "https://incidentdatabase.ai/cite/1678", "editor": "AIBD" }, { "date": "2026-10-20", "change": "Attributed the three-month trial length and 6.6 km/h speed reduction to TMR via the ABC and added the iMOVE project page's five-month field trial (two months on-road) with 6.30 and 5.06 km/h reductions at two sites, confined the 31 percent fatal-crash figure to the ABC because the project page gives no collision figure, dated the iMOVE page 28 July 2025, and replaced the ABC citation's URL slug and share title with the displayed headline.", "source": "https://www.abc.net.au/news/2025-07-30/ai-saves-cassowary-lives-reducing-vehicle-strikes-far-north-qld/105589446; https://imoveaustralia.com/project/large-australian-animals-and-cars-safety-for-all/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Benefit type set to Increased Product Safety under Trustible's full taxonomy of 23 types; it was Improved Environmental Sustainability among the six first used.", "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what the benefit is measured against from the cited sources.", "source": "https://www.abc.net.au/news/2025-07-30/ai-saves-cassowary-lives-reducing-vehicle-strikes-far-north-qld/105589446", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Country of the developer and the deployer added from the organization's own site or a registry.", "source": "https://en.wikipedia.org/wiki/Australian_Centre_for_Field_Robotics; https://en.wikipedia.org/wiki/Department_of_Transport_and_Main_Roads", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "source": null, "editor": "AIBD" } ], "confidence": "reported", "shade": "medium", "claim_status": "Independently reported", "claim_basis": "Sources: two independent news reports and the makers' press release. 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They worked with the Queensland Department of Transport and Main Roads (TMR) under an iMOVE project. It uses a machine-learning pipeline to detect large animals up to 200 m away and triggers roadside variable message signs. The ABC reported on 30 July 2025 that TMR had used the AI for three months at a busy cassowary crossing. That is on the Kennedy Highway at Kuranda, Far North Queensland. Trial dates are not given. The consortium's iMOVE project page instead describes a five-month field trial: three months of data collection, then two months of on-road trialling. TMR told the ABC that the system identified cassowaries with 97 percent accuracy. It said drivers slowed by an average of 6.6 km/h at the flashing sign and fatal crashes fell 31 percent during the trial. The iMOVE page reports speed reductions averaging 6.30 km/h and 5.06 km/h at two test sites and gives no collision figure. About two dozen cassowaries were killed on Queensland roads the previous year.", "benefit_type": "Increased Product Safety" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "benefit_type" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].distribution": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].duration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].id": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].stakeholder_group": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "personal", "reason": "Trial-level aggregate (speed reduction, 31 percent fewer fatal crashes) with no discrete attributable event." }, { "group": "organizational", "reason": "Aggregate program result reported by the operating agency." }, { "group": "societal", "reason": "Aggregate result over a three-month trial. 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severity not given by the source.", "source": "https://incidentdatabase.ai/cite/1678", "editor": "AIBD" }, { "date": "2026-10-20", "change": "Attributed the three-month trial length and 6.6 km/h speed reduction to TMR via the ABC and added the iMOVE project page's five-month field trial (two months on-road) with 6.30 and 5.06 km/h reductions at two sites, confined the 31 percent fatal-crash figure to the ABC because the project page gives no collision figure, dated the iMOVE page 28 July 2025, and replaced the ABC citation's URL slug and share title with the displayed headline.", "source": "https://www.abc.net.au/news/2025-07-30/ai-saves-cassowary-lives-reducing-vehicle-strikes-far-north-qld/105589446; https://imoveaustralia.com/project/large-australian-animals-and-cars-safety-for-all/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Benefit type set to Increased Product Safety under Trustible's full taxonomy of 23 types; it was Improved Environmental Sustainability among the six first used.", "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what the benefit is measured against from the cited sources.", "source": "https://www.abc.net.au/news/2025-07-30/ai-saves-cassowary-lives-reducing-vehicle-strikes-far-north-qld/105589446", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Country of the developer and the deployer added from the organization's own site or a registry.", "source": "https://en.wikipedia.org/wiki/Australian_Centre_for_Field_Robotics; https://en.wikipedia.org/wiki/Department_of_Transport_and_Main_Roads", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "editor": "AIBD" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "date_observed", "revisions" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "replication.attempts[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "replication": { "produced_by": [ "A known animal crossing hotspot with high strike rates", "Self-training detection pipeline that improved over the trial", "Variable message signs drivers can see in time to slow" ], "must_hold": [ "Detection accuracy on the target species", "Driver compliance with flashing warnings", "Permanent funding, which TMR said it was still pursuing" ], "echoes": [ { "date": "2026-10-20", "setting": "Virginia Route 460 thermal-camera AI pilot (VTTI/VDOT): 3 mph speed reduction, collisions not measured", "outcome": "unknown", "source": "https://techxplore.com/news/2026-10-real-driver-animal-collisions.html" } ] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; 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Artificial intelligence used to reduce cassowary road deaths in Queensland.", "title": "Artificial intelligence used to reduce cassowary road deaths in Queensland", "url": "https://www.abc.net.au/news/2025-07-30/ai-saves-cassowary-lives-reducing-vehicle-strikes-far-north-qld/105589446", "date": "2025-07-30", "written_by": "independent", "quote": "The technology was 97 per cent accurate in identifying the bird, which led to a 31 per cent decrease in fatal crashes, the department said." }, { "kind": "press release", "citation": "iMOVE Australia CRC (n.d.). Large Australian animals and cars: Safety for all. Project page with final reports.", "title": "Large Australian animals and cars: Safety for all", "url": "https://imoveaustralia.com/project/large-australian-animals-and-cars-safety-for-all/", "date": "2025-07-28", "written_by": "makers", "quote": "Partners with iMOVE on this research were the Department of Transport and Main Roads (Queensland), the University of Sydney's Australian Centre for Robotics, and the Queensland University of Technology's CARRS-Q." }, { "kind": "news report", "citation": "Tech Xplore (2025). Researchers develop world's first AI roadside technology to prevent animal–vehicle collisions.", "title": "Researchers develop world's first AI roadside technology to prevent animal–vehicle collisions", "url": "https://techxplore.com/news/2025-08-world-ai-roadside-technology-animalvehicle.html", "date": "2025-08-06", "written_by": "independent", "quote": "the system was correctly detecting animals 78.5% of the time within 100 meters" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "evidence" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].id": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "AIBD-0104-source-0001", "AIBD-0104-source-0002", "AIBD-0104-source-0003" ], "role": "Existing evidence items, in their original order" }, "provenance": { "kind": "curatorial", "basis": "Stable within the fingerprinted record version; no source content or source review has been added.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "sources[].language": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "sources[].relationship": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "evidence": [ { "kind": "news report", "citation": "ABC News (2025). Artificial intelligence used to reduce cassowary road deaths in Queensland.", "title": "Artificial intelligence used to reduce cassowary road deaths in Queensland", "url": "https://www.abc.net.au/news/2025-07-30/ai-saves-cassowary-lives-reducing-vehicle-strikes-far-north-qld/105589446", "date": "2025-07-30", "written_by": "independent", "quote": "The technology was 97 per cent accurate in identifying the bird, which led to a 31 per cent decrease in fatal crashes, the department said." }, { "kind": "press release", "citation": "iMOVE Australia CRC (n.d.). Large Australian animals and cars: Safety for all. Project page with final reports.", "title": "Large Australian animals and cars: Safety for all", "url": "https://imoveaustralia.com/project/large-australian-animals-and-cars-safety-for-all/", "date": "2025-07-28", "written_by": "makers", "quote": "Partners with iMOVE on this research were the Department of Transport and Main Roads (Queensland), the University of Sydney's Australian Centre for Robotics, and the Queensland University of Technology's CARRS-Q." }, { "kind": "news report", "citation": "Tech Xplore (2025). Researchers develop world's first AI roadside technology to prevent animal–vehicle collisions.", "title": "Researchers develop world's first AI roadside technology to prevent animal–vehicle collisions", "url": "https://techxplore.com/news/2025-08-world-ai-roadside-technology-animalvehicle.html", "date": "2025-08-06", "written_by": "independent", "quote": "the system was correctly detecting animals 78.5% of the time within 100 meters" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "evidence" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].upstream_sources": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "strategic_assessments[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "strategic assessments" }, "summary": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "summary": "TMR three-month trial at Kuranda: 97% cassowary detection, drivers slowed 6.6 km/h, fatal crashes down 31% (reported 30 July 2025).", "account": "The Large Animal Activated Roadside Monitoring and Alert System (LAARMA) was developed by the University of Sydney's Australian Centre for Robotics and QUT's CARRS-Q. They worked with the Queensland Department of Transport and Main Roads (TMR) under an iMOVE project. It uses a machine-learning pipeline to detect large animals up to 200 m away and triggers roadside variable message signs. The ABC reported on 30 July 2025 that TMR had used the AI for three months at a busy cassowary crossing. That is on the Kennedy Highway at Kuranda, Far North Queensland. Trial dates are not given. The consortium's iMOVE project page instead describes a five-month field trial: three months of data collection, then two months of on-road trialling. TMR told the ABC that the system identified cassowaries with 97 percent accuracy. It said drivers slowed by an average of 6.6 km/h at the flashing sign and fatal crashes fell 31 percent during the trial. The iMOVE page reports speed reductions averaging 6.30 km/h and 5.06 km/h at two test sites and gives no collision figure. About two dozen cassowaries were killed on Queensland roads the previous year." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "summary", "account" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].autonomy_permissions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].component_role": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].deployment_configuration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].inputs_outputs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_name": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].product_name": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "system": "Large Animal Activated Roadside Monitoring and Alert System (LAARMA)" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "system" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].provider": { "state": "value_present", "value": { "kind": "structured", "data": { "application_developer": "University of Sydney Australian Centre for Robotics and QUT CARRS-Q" } }, "provenance": { "kind": "legacy_record", "basis": "Mapped from the existing case description without a new external source review.", "record_fields": [ "developer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "taxonomy_crosswalks[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "title": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "title": "LAARMA AI roadside alerts cut cassowary road deaths in Queensland trial", "headline": "LAARMA alerts cut fatal crashes 31% in Kuranda cassowary trial" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "title", "headline" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "version": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "09beff2764d480679117c8eb1f7e946c2a2ae3eb7a3fa2684a5b98dc6d56cf62" ], "role": "SHA-256 of normalized original case data" }, "provenance": { "kind": "curatorial", "basis": "Deterministic content version assigned by the local migration.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "workflow": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "account": "The Large Animal Activated Roadside Monitoring and Alert System (LAARMA) was developed by the University of Sydney's Australian Centre for Robotics and QUT's CARRS-Q. They worked with the Queensland Department of Transport and Main Roads (TMR) under an iMOVE project. It uses a machine-learning pipeline to detect large animals up to 200 m away and triggers roadside variable message signs. The ABC reported on 30 July 2025 that TMR had used the AI for three months at a busy cassowary crossing. That is on the Kennedy Highway at Kuranda, Far North Queensland. Trial dates are not given. The consortium's iMOVE project page instead describes a five-month field trial: three months of data collection, then two months of on-road trialling. TMR told the ABC that the system identified cassowaries with 97 percent accuracy. It said drivers slowed by an average of 6.6 km/h at the flashing sign and fatal crashes fell 31 percent during the trial. The iMOVE page reports speed reductions averaging 6.30 km/h and 5.06 km/h at two test sites and gives no collision figure. About two dozen cassowaries were killed on Queensland roads the previous year.", "replication": { "produced_by": [ "A known animal crossing hotspot with high strike rates", "Self-training detection pipeline that improved over the trial", "Variable message signs drivers can see in time to slow" ], "must_hold": [ "Detection accuracy on the target species", "Driver compliance with flashing warnings", "Permanent funding, which TMR said it was still pursuing" ], "echoes": [ { "date": "2026-10-20", "setting": "Virginia Route 460 thermal-camera AI pilot (VTTI/VDOT): 3 mph speed reduction, collisions not measured", "outcome": "unknown", "source": "https://techxplore.com/news/2026-10-real-driver-animal-collisions.html" } ] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" } }, "summary": { "total": 91, "addressed": 91, "known": 30, "reviewed": 0, "record_mapped": 30, "not_assessed": 61, "complete": false, "by_state": { "value_present": 30, "not_reported": 0, "unresolved": 0, "not_assessed": 61, "not_applicable": 0, "withheld": 0, "source_unavailable": 0 } } } }