Junction Turning Counts
Junction Turning Counts function as essential elements for traffic research because they display vehicle patterns at street intersections and at junctions. Mulu Data Solutions collects accurate data about intersection movements, which includes left and right turns and also straight-ahead paths to support traffic signal optimisation intersection design and congestion management projects.
Our TMC surveys use a combination of manual counts, video recording and even automated detection tools, which we select according to site complexity and also the specific needs of our clients. The organisation processes data through validation and tabulation before creating client-ready reports, which traffic modelling software and infrastructure planning and operational studies can use.
The surveys enable planners and engineers to track movement patterns, discover areas of traffic congestion and develop intersections that will improve safety and also increase efficiency. Mulu Data Solutions delivers accurate data to clients, which enables the clients to create urban transport plans and policies using their collected datasets. The company maintains high standards of professional data delivery because it provides precise and practical datasets that meet all requirements.
Link Counts
Link Counts provide detailed information about traffic volumes along specific road segments, allowing planners and engineers to understand route usage, congestion patterns, and network demand. Mulu Data Solutions conducts link count surveys using a mix of manual observations and automated traffic detection equipment, ensuring accuracy across peak and off-peak periods.
These surveys are essential for capacity analysis, corridor planning, and road network optimisation, providing quantitative data that supports modelling, infrastructure design, and policy decisions. Each project is tailored to the client’s objectives, ensuring the data collected is relevant, precise, and actionable.
All datasets are validated and presented in a clear, client-ready format, including tables, charts, and visual summaries for easy interpretation. By combining experienced field staff with modern technology, Mulu Data Solutions ensures that link count surveys deliver timely insights that are both reliable and practical for decision-making in transport planning and urban mobility projects.
Queue Length Analysis
Mulu Data Solutions’ Queue Length Analysis measures the length, duration, and impact of vehicle queues at intersections, roundabouts, and congested road segments. These surveys provide crucial information for traffic management, signal timing optimisation, and congestion mitigation.
Our team collects data using manual observation and video-assisted techniques, ensuring accurate measurement of queue lengths during peak and off-peak periods. The resulting data helps identify bottlenecks, traffic delays, and operational inefficiencies, allowing transport engineers and planners to implement targeted improvements that improve traffic flow and safety.
The data is processed and validated to produce client-ready reports, charts, and recommendations, making it easy to integrate into traffic modelling, urban planning, and infrastructure assessment projects. With a focus on accuracy, efficiency, and timely delivery, our queue length analyses support both short-term operational adjustments and long-term transport planning strategies.
Parking Surveys
Mulu Data Solutions’ Parking Surveys provide detailed information about parking patterns, occupancy, turnover, and utilisation in public and private facilities. These surveys are critical for urban planning, commercial property management, and transport policy development.
Our team collects data on the number of vehicles, duration of stay, peak usage periods, and turnover rates using a combination of manual observation and technology-assisted methods, ensuring precision and reliability. By understanding parking demand, clients can make informed decisions about parking allocation, pricing strategies, and facility design.
Reports are delivered in client-ready formats, complete with charts, tables, and visual summaries that allow planners, transport authorities, and developers to quickly interpret the results. With Mulu Data Solutions, clients receive actionable insights that enhance operational efficiency, improve user experience, and inform sustainable transport planning.
Roundabout Counts
Roundabout Counts provide insight into the performance of circular junctions, recording vehicle entry, exit, and circulating volumes to support capacity analysis, traffic flow management, and safety assessments.
Mulu Data Solutions conducts these counts using manual observation, video-assisted recording, or automated sensors, depending on the project requirements. Data is validated, processed, and presented in clear, client-ready formats suitable for traffic modelling, planning reports, and operational improvements.
Roundabout counts allow transport engineers to identify congestion patterns, assess efficiency, and design interventions that improve flow and reduce delays. With our professional approach, we deliver high-quality, reliable data that is timely, actionable, and directly supports urban planning, traffic safety, and infrastructure optimisation projects.
Pedestrian Counts
Mulu Data Solutions’ Pedestrian Counts measure foot traffic patterns in streets, transport hubs, public spaces, and commercial areas. This data is critical for urban planning, public space design, active travel initiatives, and transport policy.
We collect pedestrian data using manual observation and video-assisted methods, recording volumes, peak periods, flow directions, and movement patterns. Data is validated to ensure accuracy and reliability. These insights help planners, transport operators, and local authorities make evidence-based decisions regarding pedestrian infrastructure, street layouts, and safety improvements.
Reports are presented in easy-to-understand formats, including tables, charts, and summaries suitable for professional analysis. By combining field expertise with modern data collection tools, Mulu Data Solutions delivers pedestrian data that is timely, accurate, and actionable.
cycle Counts
Our cycle Counts capture cycling activity across streets, lanes, and transport corridors to support active travel planning, sustainable transport initiatives, and cycling infrastructure development.
Mulu Data Solutions records cycling volumes, flow directions, and peak travel times using a combination of manual observation and technology-assisted methods. This ensures data accuracy and provides insights into usage patterns, route demand, and cyclist behaviour.
The validated results are presented in client-ready reports, including charts, tables, and summaries suitable for integration into transport planning studies, safety assessments, and sustainability projects. By providing reliable, actionable data, we help planners, authorities, and organisations make informed decisions to enhance cycling networks, improve safety, and encourage sustainable mobility.
Public Transport Monitoring
Our Public Transport Monitoring services deliver detailed insights into the operation, performance, and usage of public transport systems. We collect data on passenger numbers, boarding and alighting patterns, route usage, dwell times, and schedule adherence. This allows transport planners, operators, and local authorities to make informed decisions about capacity, service planning, and efficiency improvements. We combine field-based observation with technology-assisted recording to ensure accuracy while minimising disruption to passengers. Every monitoring project is designed to meet client-specific objectives, whether evaluating a single bus route, a network of tram lines, or multi-modal transport systems.
Transit Origin-Destination (O-D) Surveys
Our Transit Origin-Destination Surveys provide critical data on passenger travel patterns and journey purposes across public transport networks. By tracking where passengers begin and end their trips, we help operators and planners understand route demand, optimise network connectivity, and improve service alignment with actual commuter needs. We utilise a combination of field-based interviews and technology-assisted tracking to ensure high-quality, representative datasets that support strategic transport modelling and infrastructure investment.
Boarding and Alighting Surveys
Mulu Data Solutions conducts Boarding and Alighting Surveys to deliver precise insights into passenger volumes at specific stops, stations, or along entire routes. Our team records the number of passengers getting on and off vehicles, helping to identify high-demand locations, peak usage periods, and section loads. This data is essential for assessing vehicle capacity requirements, improving station layouts, and ensuring that transport resources are deployed efficiently to meet real-world passenger flow.
Reliability and Punctuality Surveys
Our Reliability and Punctuality Surveys focus on the operational performance of transport services by monitoring schedule adherence and dwell times. We collect accurate data on arrival and departure times compared to published timetables, identifying specific bottlenecks or recurring delays within the network. These insights allow local authorities and operators to implement targeted interventions that enhance service dependability, improve passenger satisfaction, and optimise overall fleet management.