Skip to main content

Envisioning is an emerging technology research institute and advisory.

LinkedInInstagramGitHub

2011 — 2026

research
  • Reports
  • Newsletter
  • Methodology
  • Origins
  • My Collection
services
  • Research Sessions
  • Signals Workspace
  • Bespoke Projects
  • Use Cases
  • Signal Scanfree
  • Readinessfree
impact
  • ANBIMAFuture of Brazilian Capital Markets
  • IEEECharting the Energy Transition
  • Horizon 2045Future of Human and Planetary Security
  • WKOTechnology Scanning for Austria
audiences
  • Innovation
  • Strategy
  • Consultants
  • Foresight
  • Associations
  • Governments
resources
  • Pricing
  • Partners
  • How We Work
  • Data Visualization
  • Multi-Model Method
  • FAQ
  • Security & Privacy
about
  • Manifesto
  • Community
  • Events
  • Support
  • Contact
  • Login
ResearchServicesPricingPartnersAbout
ResearchServicesPricingPartnersAbout
  1. Home
  2. Research
  3. Cities
  4. Programmable Smart Pavement

Programmable Smart Pavement

Road surfaces with embedded sensors and materials that adapt to weather, traffic, and wear in real time
Back to CitiesView interactive version

Urban infrastructure has long struggled to keep pace with the dynamic demands of modern cities. Traditional pavements, though durable, are static systems unable to respond to changing environmental or mobility conditions. As cities face rising traffic congestion, climate-induced flooding, and the need for better resource efficiency, this rigidity becomes a critical weakness. Programmable smart pavement addresses this challenge by transforming the road surface into an adaptive, data-driven system capable of responding in real time to urban pressures.

At its core, programmable smart pavement combines advanced materials with embedded sensors, actuators, and microprocessors. The technology integrates responsive composites, such as piezoelectric or phase-change materials, with networked electronics that monitor variables like temperature, moisture, load, and vibration. These surfaces can alter their properties according to the data they receive: for example, increasing permeability during heavy rainfall to reduce surface flooding, or adjusting surface friction in icy conditions to improve vehicle safety. In some prototypes, the pavement also generates energy from mechanical stress, turning roadways into decentralised power sources.

Beyond adaptability, this intelligent surface serves as an urban sensing network. Its embedded systems continuously collect data on traffic flow, air quality, and infrastructure stress, feeding into broader smart-city management platforms. Such integration enables predictive maintenance and optimises city operations like lighting, traffic signals, and emergency routing.

For future cities, programmable smart pavement represents a shift from passive infrastructure to active urban intelligence. It embodies a model of streets not merely as conduits for movement but as responsive public systems, dynamically aligned with environmental and social needs. As urban areas grow denser and more climate-vulnerable, the convergence of materials science, sensing, and computation in the very ground beneath us could redefine how cities adapt, communicate, and sustain themselves.

Technology Readiness Level
3/9Proof-of-Concept
Diffusion of Innovation
1/5Innovators
Technology Life Cycle
1/4Emergence
Category
Hardware

Related Organizations

Integrated Roadways

United States · Startup

95%

Develops Smart Pavement™, a precast concrete system with embedded digital technology, sensors, and connectivity for smart city infrastructure.

Developer
Colas logo
Colas

France · Company

90%

Transport infrastructure construction group, developer of 'Flowell' dynamic road marking.

Developer
Electreon logo
Electreon

Israel · Company

90%

Provides wireless charging solutions for electric vehicles (EVs) through dynamic in-road inductive technology.

Developer
Pavegen

United Kingdom · Startup

90%

Creates flooring technology that converts the kinetic energy of footsteps into electricity and data.

Developer
Eurovia

France · Company

85%

A subsidiary of VINCI Construction that developed 'Power Road', a road surface that captures thermal energy.

Developer
Platio Solar

Hungary · Startup

85%

Develops solar pavement blocks made from recycled plastic that can be installed in sidewalks, driveways, and plazas.

Developer
Valerann logo
Valerann

United Kingdom · Startup

85%

Offers a traffic management platform powered by IoT sensors installed in road studs (smart cat's eyes).

Developer
EnGoPlanet

United States · Company

80%

Clean tech company providing smart streetlights and kinetic energy tiles for pedestrian areas.

Developer
Purdue University logo
Purdue University

United States · University

80%

Home to the Manfra Group, which grows the ultra-pure semiconductor nanowires needed for topological qubits.

Researcher
Continental logo
Continental

Germany · Company

75%

Automotive supplier researching road condition monitoring via tire sensors (eTIS) and smart infrastructure interaction.

Researcher

Supporting Evidence

Paper

Learning road degradation with asphalt-integrated sensor fabric

Innovative Infrastructure Solutions · Dec 5, 2025

Describes a data-driven approach using a hybrid sensor fabric integrated directly into the asphalt base layer. Artificial Intelligence methods are applied to sensor measurements to diagnose the degradation state of the road continuously.

Support 89%Confidence 94%

Paper

Real-time concrete strength monitoring using piezoelectric sensors and deep learning

Nature Communications · Dec 12, 2025

Integrates artificial intelligence with infrastructure sensing using piezoelectric sensors to monitor concrete strength in real-time. The study demonstrates a transformative approach to redefining concrete structures as active sensing systems.

Support 87%Confidence 96%

Article

Smart Pavement for Smart Cities

National Precast Concrete Association · Jun 10, 2025

Discusses the deployment of Integrated Roadways' patented Smart Pavement system, which embeds technology in precast slabs for Wi-Fi, EV charging, and traffic data collection. Mentions upcoming installations in Lenexa, Kansas.

Support 85%Confidence 88%

Article

Smart Road Pilot Project Gets Green Light

swcpa.org

The City of Lenexa, Kansas, population 57,000, has approved a 10-year pilot program to deploy Smart Pavement technology at five intersections in a public-private partnership with Integrated Roadways. The project involves deploying smart pavement technology through precast concrete road sections embedded with digital technology and fiber optic connectivity.

Support 50%Confidence 80%

Article

Farewell potholes? UK team invents self-healing road surface

theguardian.com

Researcher at Swansea University says tiny plant spores mixed into bitumen can extend surface lifespan by 30%

Support 50%Confidence 80%

Article

Ultra-High Power Density Roadway Piezoelectric Energy Harvesting System

energy.ca.gov

Advanced piezoelectric technologies can generate electricity from otherwise untapped mechanical energy resources. Piezoelectric technologies provide the opportunity to harvest energy where stress or vibration is generated and have the advantages of highpower density, simplicity, and scalability for a variety of applications. Heavy traffic of ground vehicles and pedestrians on highways, streets, and sidewalks provides considerable mechanical energy. Harvesting this energy can increase distributed renewable energy capacity. However, there is a lack of the comprehensive understanding of piezoelectric energy harvesting systems and their potential. This project takes an integrated multi-disciplinary approach involving mechanical, electrical, engineering, civil, and automobile engineering, material science, and physics to develop technologies for harvesting high-density piezoelectric energy.

Support 50%Confidence 80%

Article

Application of fully permeable pavements as a sustainable approach for mitigation of stormwater runoff

sciencedirect.com

The current research paper presents the implementation of a new design method for fully permeable pavements, developed using the mechanistic-empirical approach by the University of California Pavement Research Center (UCPRC) through building two test sections which includes asphalt and concrete at California State University Long Beach (CSULB). Fully permeable pavements are characterized as that in which all layers are permeable, and the pavement structure serves as a reservoir to store water and minimize the negative impacts of stormwater. Pressure cells and strain gages were installed during the construction of pavement for measuring the stress on the top of subgrade and strain at the bottom of surface layer on both test sections to evaluate the performance of the fully permeable pavement. In this study, the traffic count was also determined. The collected data from pressure cells and strain gages were analysed using MATLAB program and graphs were plotted to study the pattern in the data sets. The plots revealed that the asphalt section experienced more stress and strain in comparison to concrete test section. Both the test sections showed reliable performance in terms of distresses. Though the year 2017 was considered to be one of the wettest in California, both test sections performed well in infiltrating the stormwater. The collected data is being used to evaluate the performance of both test sections. Based on the performance evaluation results, it was determined that it is possible to develop and implement the fully permeable pavement design as part of a sustainable approach for freeways.

Support 50%Confidence 80%

Article

Smart embedded technologies and materials for enhanced pavement management

sciencedirect.com

The integration of smart technologies is set to revolutionize pavement data collection and analysis, leading to more efficient decision-making in Pavement Management Systems (PMS). Smart pavements, featuring embedded sensors, offer continuous streams of high-quality real-time data, enhancing the PMS data analysis process. This paper provides a detailed examination of these embedded smart systems, discussing their technologies, applications, and potential impacts on pavement management. The study highlights the role of smart materials in pavement engineering, offering self-sensing, self-healing, and energy-harvesting capabilities. It investigates sensor technologies for monitoring pavement conditions, focusing on both on-surface and below-surface sensors for comprehensive data collection. Future research directions emphasize advanced data management systems, sensor durability enhancement, economic modeling, standardization efforts, energy-efficient technologies, and pilot programs for real-world testing. This research provides insights into smart pavement advancements and challenges, paving the way for improved road infrastructure efficiency and sustainability.

Support 50%Confidence 80%

Article

Analysis of Preparation and Properties on Shape Memory Hydrogenated Epoxy Resin Used for Asphalt Mixtures

mdpi.com

The objective of this investigation is to prepare the shape memory hydrogenated epoxy resin used for asphalt mixtures (SM-HEP-AM) and study its properties. The shape memory hydrogenated epoxy resin (SM-HEP) is prepared using hydrogenated bisphenol A epoxy resin (AL-3040), polypropylene glycol diglycidylether diacrylate (JH-230), and isophorone diamine (IPDA). The formulations of the SM-HEP-AM are obtained by the linearly fitted method. The thermo-mechanical property, molecular structure, and shape-memory performance of the SM-HEP-AM are studied. The glass-transition temperature (Tg) is determined using the differential scanning calorimeter (DSC). The results proved that the Tg level increased when the JH-230 content decreased. The thermo-mechanical property of the SM-HEP-AM is measured by dynamical mechanical analysis (DMA). The storage modulus of the SM-HEP-AM decreased with the increase in the JH-230 content. The above phenomena are attributed to the change in the JH-230 content. The shape memory performance results of the SM-HEP-AM indicate that specimen deformation can completely recover after only several minutes at Tg + 10 °C and Tg + 20 °C. The shape recovery time of the SM-HEP-AM increases with increased JH-230 content, and the change between the shape recovery time and JH-230 content gradually decreased as the temperature increased. The deformation recovery performance of asphalt mixture with and without the SM-HEP-AM (Tg = 40 °C) was tested by the deformation recovery test. This was used to prove that the SM-HEP-AM helps to improve the deformation recovery performance of the asphalt mixture.

Support 50%Confidence 80%

Article

PAVEMENT SENSING SYSTEMS : LITERATURE REVIEW

sciendo-parsed.s3.eu-central-1.amazonaws.com

In situ monitoring of pavement health has been getting much attention due to the efficiency, reliability and accuracy of data. This review consists of various embedded as well as nondestructive sensing options that have been used to perform analysis on pavement health either by simply calculating horizontal and vertical strains under pavement layers or by crack detection models inside pavement structures by supplementing information from moisture, temperature and traffic related sensors. With optimum integration of such combination sensors, engineers can predict the optimum rehabilitation time of the pavements and reduce a huge amount of budget spent on infrastructure reconstruction.

Support 50%Confidence 80%

Article

Integrated Roadways Awarded Key Colorado “Smart Highway” Project

ccdmag.com

Integrated Roadways Awarded Key Colorado “Smart Highway” Project Utilizing Patented “Smart Pavement” Technology. Integrated Roadways, a technology startup from Kansas City, Missouri, is revolutionizing America’s highway system beginning with a key partnership with the Colorado Department of Transportation (CDOT) under their RoadX initiative to use next-generation innovations to solve infrastructure challenges.

Support 50%Confidence 80%

Article

Colorado pilots ‘smart pavement’ that can track vehicle location, make and model

statescoop.com

Through an experimental .75 million project with the transportation department, the company says it intends to turn the state's roadways into connected digital platforms.

Support 50%Confidence 80%

Article

Permeable pavement could help cities be more resilient to flooding

urban.uw.edu

Pilot projects are being developed across Quebec to make parking lots, bike paths or portions of streets more resilient to climate change.

Support 50%Confidence 80%

Same technology in other hubs

Horizons
Horizons
Programmable Smart Pavement

Road surfaces that adapt permeability, temperature, and traffic flow in real-time

Connections

Hardware
Hardware
Porous Pavement

Permeable surface that filters stormwater, reduces flooding, and cools urban environments

Technology Readiness Level
9/9
Diffusion of Innovation
3/5
Technology Life Cycle
3/4
Hardware
Hardware
Green Road

Roads designed to capture rainwater, reduce flooding, and recharge groundwater through integrated water management

Technology Readiness Level
8/9
Diffusion of Innovation
2/5
Technology Life Cycle
2/4
Hardware
Hardware
Self-healing Material

Materials that autonomously repair damage to extend infrastructure lifespan and reduce maintenance costs

Technology Readiness Level
6/9
Diffusion of Innovation
2/5
Technology Life Cycle
2/4
Software
Software
Autonomous Sustainability Monitoring

Real-time sensor networks and AI tracking air quality, energy use, and waste across cities

Technology Readiness Level
6/9
Diffusion of Innovation
2/5
Technology Life Cycle
1/4
Hardware
Hardware
Living Fungal Sensor

Biodegradable sensors using mycelium networks to detect pollution, humidity, and soil health in urban environments

Technology Readiness Level
3/9
Diffusion of Innovation
2/5
Technology Life Cycle
1/4
Applications
Applications
Sponge City

Urban design using permeable surfaces and green infrastructure to absorb, filter, and store rainwater naturally

Technology Readiness Level
6/9
Diffusion of Innovation
3/5
Technology Life Cycle
2/4

Book a research session

Bring this signal into a focused decision sprint with analyst-led framing and synthesis.
Research Sessions