Road roughness is an important measure of condition and ride quality, but many agencies around the world with large road networks lack the resources to regularly check the state of their highways and make informed maintenance decisions.

On most road networks, road roughness is usually used as the measure of functional condition because it can be related readily to road use costs and measurement can be automated.

Using the high-resolution, three-axis accelerometers and GPS tracking already built into smartphones, in conjunction with an app, to record how vehicles are moving vertically in relation to the carriageway, civil engineers could amass a useful measure of road roughness.

Researchers at the University of Birmingham have studied the feasibility of using smartphones in this way, publishing their findings in the Journal of Infrastructure Systems.

Dr. Michael Burrow, co-author of the report and senior lecturer at the University of Birmingham, said: “The most accurate automated methods of assessing road roughness use vehicles fitted with lasers, but even assessing the roughness of a reasonably sized network can be costly.

“An attractive solution is to use acceleration sensors built into most smartphones: because smartphone ownership and use are widespread, we can foresee an approach where the condition of road networks is assessed using crowdsourced data from these mobile devices.”

Maintaining roads to an appropriate acceptable standard encourages economic development and minimises road use costs such as travel time, fuel efficiency, vehicle repairs and accidents. It also reduces the environmental impact of transport and provides a social benefit.

In order to make the best use of scarce resources, road agencies worldwide typically prioritise maintenance according to the socio-economic returns, achieving this by regularly assessing road surface and structural condition.

The International Roughness Index (IRI) is the most commonly used measure of road roughness, but even assessing the roughness of a reasonably sized road network can be costly using ‘traditional’ technology.

For example, the cost of collecting road roughness data in the United States is between $1.4 and $6.2 per kilometre, depending on the state. In Illinois, which has 224,719km of roads, the annual cost of data collection is $1.4m.

Decision-making using roughness data collected using a smartphone system could allow road agencies to:

• Produce a regular low-cost summary of the entire road network’s condition.
• Use network-level models to evaluate and compare maintenance policies, as well as assessing road use and road agency costs.
• Screen roads to identify and prioritise road sections requiring maintenance.

“Routine inspection of the condition of a road network could be achieved using low-cost data collection systems on smartphones with similar characteristics inside a fleet of vehicles of similar types, travelling at normal traffic speeds,” noted Dr. Burrow.

“Vertical acceleration data from smartphones could be analysed using machine-learning algorithms to enable IRI to be predicted to a similar accuracy as would be expected from a visual inspection, but with improved repeatability and reproducibility.

“A particularly useful application could be the assessment of the condition of low-volume rural road networks in developing countries, where the majority of rural roads are constructed from either gravel or earth and where smartphone ownership is surprisingly high.”

Road repair and maintenance is a major financial headache for local councils and highways agencies all over the world. Extreme weather patterns, such as those suggested to be caused by climate change, routinely wreak havoc with the relatively delicate surface of many roads, with winter ice and water ingress causing roads to break up. The sheer weight of the surging volume in road traffic exacerbates this annual deterioration.

Accordingly, there is a considerable amount of research onging into new materials for road surfaces. While asphalt and concrete have been ubiquitous in the world’s transport infrastructure for decades, their expensive upkeep and high environmental impact are turning heads to alternative materials for road building.

Last year, Scottish company MacRebur opened a new plant in Lockerbie, Dumfries and Galloway, producing plastic waste to be used to pave British roads and which will simultaneously help tackle ocean pollution.

Meanwhile, it was reported earlier this year that a super-hardy graphene-infused tarmac will be rolled out at Rome’s main airport, Fiumicino. The graphene-reinforced tarmac is claimed to have twice the lifespan of traditional asphalt.

Road roughness is an important measure of condition and ride quality, but many agencies around the world with large road networks lack the resources to regularly check the state of their highways and make informed maintenance decisions.

On most road networks, road roughness is usually used as the measure of functional condition because it can be related readily to road use costs and measurement can be automated.

Using the high-resolution, three-axis accelerometers and GPS tracking already built into smartphones, in conjunction with an app, to record how vehicles are moving vertically in relation to the carriageway, civil engineers could amass a useful measure of road roughness.

Researchers at the University of Birmingham have studied the feasibility of using smartphones in this way, publishing their findings in the Journal of Infrastructure Systems.

Dr. Michael Burrow, co-author of the report and senior lecturer at the University of Birmingham, said: “The most accurate automated methods of assessing road roughness use vehicles fitted with lasers, but even assessing the roughness of a reasonably sized network can be costly.

“An attractive solution is to use acceleration sensors built into most smartphones: because smartphone ownership and use are widespread, we can foresee an approach where the condition of road networks is assessed using crowdsourced data from these mobile devices.”

Maintaining roads to an appropriate acceptable standard encourages economic development and minimises road use costs such as travel time, fuel efficiency, vehicle repairs and accidents. It also reduces the environmental impact of transport and provides a social benefit.

In order to make the best use of scarce resources, road agencies worldwide typically prioritise maintenance according to the socio-economic returns, achieving this by regularly assessing road surface and structural condition.

The International Roughness Index (IRI) is the most commonly used measure of road roughness, but even assessing the roughness of a reasonably sized road network can be costly using ‘traditional’ technology.

For example, the cost of collecting road roughness data in the United States is between $1.4 and $6.2 per kilometre, depending on the state. In Illinois, which has 224,719km of roads, the annual cost of data collection is $1.4m.

Decision-making using roughness data collected using a smartphone system could allow road agencies to:

• Produce a regular low-cost summary of the entire road network’s condition.
• Use network-level models to evaluate and compare maintenance policies, as well as assessing road use and road agency costs.
• Screen roads to identify and prioritise road sections requiring maintenance.

“Routine inspection of the condition of a road network could be achieved using low-cost data collection systems on smartphones with similar characteristics inside a fleet of vehicles of similar types, travelling at normal traffic speeds,” noted Dr. Burrow.

“Vertical acceleration data from smartphones could be analysed using machine-learning algorithms to enable IRI to be predicted to a similar accuracy as would be expected from a visual inspection, but with improved repeatability and reproducibility.

“A particularly useful application could be the assessment of the condition of low-volume rural road networks in developing countries, where the majority of rural roads are constructed from either gravel or earth and where smartphone ownership is surprisingly high.”

Road repair and maintenance is a major financial headache for local councils and highways agencies all over the world. Extreme weather patterns, such as those suggested to be caused by climate change, routinely wreak havoc with the relatively delicate surface of many roads, with winter ice and water ingress causing roads to break up. The sheer weight of the surging volume in road traffic exacerbates this annual deterioration.

Accordingly, there is a considerable amount of research onging into new materials for road surfaces. While asphalt and concrete have been ubiquitous in the world’s transport infrastructure for decades, their expensive upkeep and high environmental impact are turning heads to alternative materials for road building.

Last year, Scottish company MacRebur opened a new plant in Lockerbie, Dumfries and Galloway, producing plastic waste to be used to pave British roads and which will simultaneously help tackle ocean pollution.

Meanwhile, it was reported earlier this year that a super-hardy graphene-infused tarmac will be rolled out at Rome’s main airport, Fiumicino. The graphene-reinforced tarmac is claimed to have twice the lifespan of traditional asphalt.