Rural Mobility in Low-Density Regions: Human-Centred Traffic Management Solutions

Technology in Practice: SMARTIN and Fits Traffic

The EU-funded SMARTIN project (Smart digital solutions for multimodal, accessible, resilient, user-centric urban infrastructure) exemplifies how technology can support genuinely human-centred mobility. Rather than optimising vehicle flow, SMARTIN explicitly prioritises accessibility, resilience, and multimodality – outcomes that directly benefit people rather than merely moving vehicles efficiently.

SMARTIN creates a connectivity platform where transport infrastructure assets are digitalised, and mobility optimisation services operate harmoniously. Its AI-driven analytics fuse infrastructure monitoring data at different geospatial resolutions, enabling proactive incident detection and predictive maintenance. The critical distinction is purpose: traditional intelligent transport systems monitor infrastructure to maximise vehicle throughput. This project monitors infrastructure to enhance service quality from users’ perspectives – reliability, accessibility, journey times for actual trips people need to make.

Fits Traffic, developed by dots. with 10 years of transportation systems experience and participating in the SMARTIN project, translates these human-centred principles into operational practice. Where SMARTIN establishes the framework for user-centric infrastructure, Fits Traffic provides the tools that make this vision manageable at regional scale.

The unified back-office platform integrates monitoring data from multiple sources and locations into a single operational view – enabling the kind of coordinated, responsive service that human-centred mobility requires, without placing an unrealistic administrative burden on smaller regional operators. The Fits Vision system uses computer vision analytics to transform existing camera infrastructure into intelligent monitoring without requiring expensive new sensor deployment.

For regions facing depopulation and constrained tax bases, this cost-effectiveness is not merely a procurement advantage – it determines whether human-centred mobility remains an aspiration or becomes a practical reality for the people who need it most.

Building Toward Resilient, People-Centred Mobility

The shift toward human-centred traffic management represents more than technological evolution – it reflects a fundamental reframing of what transport systems should accomplish. Achieving this requires policy frameworks aligned with different priorities.

Social objectives as core metrics: Transport planning must explicitly measure success through accessibility indicators – can people reach employment, healthcare, education, social participation – rather than purely technical metrics like vehicle throughput. Latvia’s National Development Plan should incorporate specific targets for rural mobility access alongside traditional efficiency measures.

Flexible regulatory frameworks: Regulations designed for scheduled fixed-route services may inadvertently block demand-responsive innovations. Policy must enable experimentation with new service models whilst maintaining safety standards. The InterMod project’s pilots demonstrate this flexibility in practice.

Funding mechanisms matched to demographics: Low-density regions with declining populations cannot fund mobility through local resources alone. When Latgale loses 1.7% of its population annually whilst still needing to serve the same geographic territory, per-capita infrastructure costs inevitably rise. National policies must recognise that maintaining rural connectivity serves broader social objectives worth public investment.

Inclusive participation in planning: People experiencing mobility barriers – elderly farmstead residents, people with disabilities, households without vehicles – must directly inform system design rather than being represented only by technical experts’ assumptions about their needs.

The UN Population Division projects Latvia’s population will decline to 1.5 million by 2045 – a 20% decrease from current levels. Human-centred demand-responsive approaches explicitly design for this demographic change. As populations decline, systems scale naturally – fewer riders mean fewer vehicles operating, but service availability persists for remaining residents. Fixed infrastructure optimised for 2024 population levels becomes increasingly inefficient as 2045 approaches, with empty buses running predetermined routes serving ever-fewer passengers.

Perhaps more importantly, effective mobility systems can help slow demographic decline itself. Research on rural depopulation consistently identifies limited services and connectivity as push factors. When farmstead residents like Anna can maintain connections to healthcare, employment, and social networks without forced relocation, depopulation pressures ease. Mobility becomes part of rural development strategy, not merely a technical transport challenge.

Conslusion

Traffic management technology is neither inherently vehicle-focused nor people-focused – these represent design choices reflecting priorities and values. Systems optimised for maximum vehicle throughput serve one set of objectives; systems designed for inclusive mobility serve another. In regions like the Nordic-Baltic, where demographic realities create unique challenges, the choice between these approaches has profound consequences.

Vehicle-centric systems that work brilliantly in Copenhagen’s density leave Latvia’s farmstead populations effectively immobile, accelerating rural decline and deepening inequalities. The 563,000 people living in Latvia’s rural areas – Anna and hundreds of thousands like her – deserve mobility systems designed for their reality, not adapted from incompatible metropolitan models.

Human-centred design asks a deceptively simple question: does this system help people live the lives they want to live? For the 73-year-old requiring medical care, the teenager seeking education opportunities, the shift worker maintaining employment, or the family choosing to remain in their rural community – the answer to this question determines whether mobility technology truly serves its purpose.

As technology continues advancing – AI-driven analytics, computer vision monitoring, predictive maintenance, demand-responsive routing – the critical question remains not what technology can do, but who it serves. Projects like SMARTIN and InterMod, solutions like Fits Traffic, demonstrate that technology can indeed serve human needs when explicitly designed for that purpose.

The “viensēta” – Latvia’s traditional dispersed farmstead – represents both the challenge and the opportunity. These settlements cannot be served by traditional public transport. But they can be served by human-centred systems designed specifically for dispersed populations. The question is whether we choose to design such systems, or continue applying metropolitan solutions to fundamentally different realities.