ASSET / EXPRESSWAY
Expressway inspection: watching a road that cannot stop
Viaducts, overpasses, sign gantries, noise barriers, cut slopes: an expressway is less a road than a chain of structures tens of kilometres long. This guide sorts out where drones fit into inspection that has relied on lane closures, and where vehicles and people remain the better tool.
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Where expressways start to deteriorate
Expressway deterioration splits into pavement, structures such as viaducts, bridges and tunnels, ancillary structures such as signs, lighting and noise barriers, and cut and fill slopes. Japan began building expressways in earnest in the 1960s, so some sections are now more than fifty years old. Repeated heavy-truck loading, de-icing salt in winter and water ingress are the three main drivers of deterioration.
| Element | Typical defects | If missed |
|---|---|---|
| Pavement | Cracking, rutting, potholes, faulting | Reduced ride safety, water reaching lower layers and decks |
| Viaduct decks & girders | Chloride attack, fatigue cracking, steel corrosion and cracks | Falling concrete — often onto local roads below |
| Expansion joints & drainage | Leaks, steps, broken parts | Corrosion below, impacts on passing vehicles |
| Sign gantries, VMS & lighting poles | Corrosion and cracks at bases and welds, loose bolts | Collapse or falling parts striking traffic |
| Noise barriers & fences | Corroded or loose panel fixings | Panels falling or blowing loose |
| Slopes & retaining walls | Small slips, cracked shotcrete, seepage, rockfall | Failure in heavy rain and road closure |
Today’s inspection and its pain points
In 2012 ceiling panels fell in the Sasago Tunnel on the Chuo Expressway, killing nine people. From July 2014, bridges, tunnels, sign gantries and similar road structures in Japan have required periodic inspection every five years, based on close visual inspection. Expressway operators (e.g. NEXCO East, Central and West, Metropolitan Expressway, Hanshin Expressway) layer daily patrols and their own detailed inspections on top.
The pain particular to expressways is that getting close means closing lanes. Closures are usually short night-time windows, and vehicles crashing into the closure itself are a major hazard for crews. Pavement, by contrast, is mainly measured by road-surface survey vehicles that record cracking, rutting and roughness at traffic speed — a “measure without stopping” system already exists there.
| Method | Strength | Pain point |
|---|---|---|
| Foot and vehicle patrols | Daily, wide coverage | Cannot see high or hidden faces |
| Road-surface survey vehicles & MMS | Record pavement and roadside at traffic speed | Weak on faces not visible from the road (soffits, upper slopes) |
| Under-bridge units & aerial lifts | Hands-on, can sound concrete | Lane closures, crash risk at the closure, congestion |
| Rope access & walking (slopes) | Reaches tall cuttings | Fall and rockfall risk, slow |
| Working from the local road below | Viaduct soffits without closing the mainline | Needs closures below, limited locations |
What drones change
On expressways the drone is a tool for seeing faces invisible from the carriageway without closing the mainline. A realistic split leaves pavement to survey vehicles and gives the drone viaduct soffits and sides, the tops of sign gantries, the back of noise barriers, slopes and the hours after a disaster.
| Approach | Typical aircraft & sensors | Best for |
|---|---|---|
| Roadside photogrammetry & 3D | GNSS drone with high-resolution camera | Slopes, retaining walls, barrier faces; point-cloud change |
| Close-range viaduct soffits | Upward gimbal, vision-positioned drones (e.g. Skydio X10 class) | Girders and deck undersides, flown from off the road or below |
| Ancillary structures | Drones with zoom cameras | Tops of sign gantries, pole heads, welds |
| Slope LiDAR | Drone-mounted LiDAR | Ground under vegetation, signs of failure, change since last time |
| Disaster response | Long-endurance aircraft, automated flights from drone ports | Debris, slope failure and snow, feeding closure decisions |
The first rule of flight planning is a route that never passes directly over moving traffic. Approach viaduct soffits from outside the right-of-way or from the local road below, and sign gantries from a closed lane or the shoulder. If crossing is unavoidable, do it inside a window when traffic has been stopped.
Overcoming the environment
The biggest obstacle on an expressway is not the sky but the vehicles and people below. Embankments and viaducts are exposed to wind, and every passing truck sends a gust of turbulent air. In mountain sections, valley winds and the height of tall cuttings come into play too.
- People and vehicles below: a drone falling onto traffic is a serious crash. Settle the no-overflight route, the tie-in with closures and the possible fall zone first. Urban areas & people below
- Wind & turbulence: viaduct decks and embankment shoulders are windy, and trucks and noise barriers create gusts and eddies. Keep margin. Wind & turbulence
- Height: on tall piers and the top of cuttings, the distance and sight line to the pilot get worse. Plan observers and reliable links. Height
- Crowded radio spectrum: urban viaducts sit in busy RF environments. Decide what the aircraft does if command or video link drops (hover or return).
From images to decisions
An expressway is a linear asset. Tens of kilometres of images and point clouds are useless unless tied to kilometre posts and structure IDs. AI is good at proposing defects and computing change against the last point cloud. Deciding what to repair first, or whether to close the road, is the road operator’s responsibility.
| Step | What machines do | What people own |
|---|---|---|
| Localisation | Place images and point clouds on the road register via GNSS and kilometre posts | Confirm match to structure and member IDs |
| Detection | Propose cracks, rust, spalls and slope defects | Check misses and false alarms |
| Change | Flag displacement or signs of failure against last survey | Tell real movement from measurement error |
| Integration | Overlay vehicle surveys, drone flights and patrol notes on one map | Own data quality and freshness |
| Rating & action | — | Condition rating, repair priority, closure decisions |
Some operators already manage structures on a single platform built from vehicle-mounted point clouds and maps (e.g. Metropolitan Expressway’s InfraDoctor). Drone data only pays off when it lands on that same map. Decide which register and coordinate system it belongs to before you fly.
Rules and responsibility
Structure inspection takes place within the Road Act’s periodic inspection framework (every five years, based on close visual inspection). The February 2019 revision kept close visual inspection as the basis but opened the way to inspection-support technologies such as drones (generally described as allowing methods the inspector judges to give an equivalent diagnosis). Pavement and slopes have their own separate inspection guidelines.
On the flying side, moving traffic is generally treated as people below and overflight is avoided. Specified flights need permission or approval plus a flight-plan notification and flight log, and work with lane closures involves agreement with the road operator and a police road-use permit. In the United States, state DOTs use drone inspection widely while the FHWA sets bridge inspection standards. Compare countries in world regulations.
What drones cannot do
- Network-wide pavement measurement: for hundreds of kilometres of road surface, survey vehicles at traffic speed are faster and more consistent. Drones suit spot checks.
- Free flight over traffic: avoiding moving vehicles is a given, so closures and timing still matter.
- Sounding, touch and bolt-tightness checks: delamination and loosening are still found by tapping and touching.
- Damage under coatings or inside members: steel thickness and internal cracks need ultrasonic or other NDT.
- Rating and closure decisions: whether to close the road and what to repair first remain human calls.
2035: the world where inspection works
This is how the Airffic editors picture it. Drone ports sit in the corners of service areas and interchanges. At night, when traffic is light, aircraft fly fixed routes past viaduct soffits, sign posts and slopes — never over a live lane. By morning, only the structures that changed since last time appear on the operator’s screen, tagged with kilometre posts.
On a night of heavy rain, drones check the slopes first and speed up closure decisions. Lane closures happen only to repair or to confirm, not to search. Fewer days with the road shut means, directly, fewer crashes and less congestion.
PREPARATION
Pre-flight preparation checklist
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Cases for this asset
- Shuto Expressway: simultaneous automated dock-based drone inspection of three long-span bridgesTokyo, Japan (Komatsugawa cable-stayed bridge, Goshikizakura Bridge, Rainbow Bridge) · 2024
- NJDOT: cost comparison of drone inspection for 244 high-mast light poles at highway interchangesNew Jersey, United States · 2018
Related papers
Country sources(48)
- NEXCO introduces steel bridge inspection using drone videoJP · NEXCO東日本・中日本・西日本
- MLIT expands the Inspection Support Technology Performance CatalogJP · 国土交通省 道路局
- Shuto Expressway's first drone inspection trial in confined spacesJP · NTTドコモビジネスほか(首都高速道路・首都高技術・JDRONE・KDDIスマートドローン)
- Road management: drones to raise safety and efficiencyKR · 데일리안
- Korea Expressway CEO leads intensive safety check with advanced equipmentKR · 문화일보
- Seoul deploys drones and smart equipment in facility safety checksKR · 스마트투데이
- Technical guide for low-altitude UAV highway bridge inspection (trial)CN · 交通运输部(主编:中交公路规划设计院有限公司)
- Technology for flood-season expressway inspectionCN · 扬子晚报/紫牛新闻
- NHAI turns to AI, drones to detect potholesIN · The Siasat Daily
- Drone that will find defects in buildings, roads in 25 millisecondsIN · The Hitavada
- Drones to monitor progress of highways constructionIN · The Tribune
- Application of UAV and LiDAR technology in topographic survey for 3D design using BIM modelVN · TEDI(交通設計コンサルタント)
Check the evidence
Rules, figures and cases cite the sources below. Future scenarios and design proposals are the editors’ own view.
- MLIT: FY2015 inspection results for bridges and other structures (five-yearly close visual inspection)MLIT Road Bureau · Full text read
- MLIT: Call for new inspection technologies for bridges (30 July 2019)MLIT Road Bureau · Full text read
- NEXCO East: Introducing steel-bridge inspection using UAV video (press release, 27 March 2024)East Nippon Expressway Company · Search snippet only
- NEXCO Central: Maintenance and inspectionCentral Nippon Expressway Company · Full text read
- NEXCO West (home page: works and lane-closure information)West Nippon Expressway Company · Full text read
- Metropolitan Expressway: GIS and 3D point-cloud road and structure maintenance system (InfraDoctor, 2017)Metropolitan Expressway Company (document hosted by MLIT) · Full text read
- MLIT: Permission and approval procedures for unmanned aircraft (specified flights)MLIT Civil Aviation Bureau · Full text read
Sources checked: 2026-10-22