LSM Analytics elevates transportation management through data analytics, UAS technology, and custom software development. The company specializes in curating complex transportation data, providing actionable insights for safety, mobility, and infrastructure assessment. They deliver scalable, cloud-based software solutions, often open-sourced, to meet specific organizational needs in the transportation sector.
Funding
Funding not disclosed
Founders
Product
Problem
Transportation management faces challenges in optimizing vehicle performance and operational efficiency due to a lack of integrated data and actionable insights. Traditional methods often struggle to effectively curate and analyze the vast amounts of data generated by vehicles and infrastructure, hindering informed decision-making. This can lead to inefficiencies in resource allocation, increased costs, and suboptimal performance across various transportation operations.
Solution
LSM Analytics provides a suite of integrated vehicle analytics and software solutions designed to enhance transportation management through comprehensive data curation and IoT technology. The platform collects and analyzes data from various sources, including connected vehicles, UAS, and infrastructure sensors, to deliver actionable insights. By applying big data methods and cloud services, LSM Analytics helps fleet operators and transportation agencies optimize vehicle performance, improve safety, and streamline operations. The company specializes in transportation data services, offering expertise in safety, mobility, and winter operations, and provides tailored software solutions under an open-source license.
Target Audience
The primary target audience includes fleet operators, transportation agencies, and decision-makers seeking to optimize vehicle performance, improve safety, and streamline transportation operations through data-driven insights.
Features
- Road Analytics: Delivers road quality and friction insights crowdsourced from anonymized vehicles, providing near-real-time reports for decision-makers, adhering to European GDPR guidelines.
- PRISM (Photographic Remotely Integrated Scene Mapping): Utilizes American-made Unmanned Aerial System (UAS) technology to create 2D orthomosaic and 3D imagery for scene reconstruction, investigation, and inventorying.
- Stockpile Inventory: Employs an integrated LiDAR network to inventory large quantities of materials, such as salt.
- Automated Material Application: Implements a GPS-controlled system to automate material application, reducing driver distraction and optimizing material usage.
- Driver Stress Analysis: Utilizes driver inputs to rank road network stress areas, enabling targeted improvements.
- Traffic Signal Performance Measures: Analyzes data recorded from traffic signal controllers to determine the performance of signalized intersections.
- Data Curation: Assists organizations in navigating and extracting maximum value from diverse data sources, including flat-files, data APIs, and cloud databases.
- Open-Source Software: Provides software solutions under the Apache 2.0 license, fostering collaborative support and ongoing enhancements.