Let's Solve More

LinkedInFacebook

Elevating transportation management solutions through integrated vehicle analytics, software development, data curation, ground truth, Internet-of-Things and more!


Who We Are

Howell Li

Co-founder of LSM Analytics, Li has been a software engineer and transportation specialist for over a decade. Li was a principal research analyst at Purdue University where he collaborated with transportation agencies and vendors on traffic signal performance measures, interstate mobility, and connected vehicles research and implementation

He has authored/co-authored articles in Transportation Research Board (TRB), ASCE Journal, and IEEE during his appointment at Purdue and is a pioneer in using connected vehicle data to determine intersection vehicle arrivals. His recent focus has been in developing analytics from vehicle and IoT data by applying big data methods and improving security and performance using cloud services. 

Li holds a MS in Civil Engineering from Purdue University and a BA in Computer Science and Philosophy from New York University. In his prior appointments, he has also worked as a software developer in the finance, infrastructure, and education sectors. 

Justin Mahlberg

Co-founder of LSM Analytics holding a Ph.D. and MS in Civil Engineering from Purdue University, along with a BS in Civil Engineering from the University of Wisconsin - Platteville, Mahlberg brings a wealth of academic expertise to the field.

Mahlberg developed a profound passion for vehicles and transportation working as a truck mechanic in his youth. Prior to co-founding LSM Analytics, he served as a Transportation Research Engineer at Purdue. He engaged and collaborated with Indiana decision-makers to help advise the allocation of resources for public and private sector stakeholders.

Mahlberg's extensive experience spans winter operations, pavement quality, pavement markings, and infrastructure assessment, and specializes in the development of data-driven visualizations and analysis programs.

LSM Analytics specializes in transportation data services with over 17 years of combined experience in traffic and winter operations. We are experts in curating data, conducting analysis, and developing software tailored to your organization's needs. 

What We Do

Transportation Analytics

Our expertise is in understanding the essence of transportation problems. As researchers, we have engaged with transportation practitioners to learn how things are done and what the priorities are.  Continuing this tradition, we are dedicated to delivering actionable insights by melding digital proficiency with practical field experience.  We're not just doing research in a bunker, what distinguishes us is our hands-on approach to craft software that works with real-world requirements.

Ground-Truth and Validation

Ensuring the accuracy of data and validating 'black boxes' to gain trust in emerging technologies, such as connected vehicles, autonomous systems, and AI is a priority for our team. We are committed to anchoring these data to the field, grounding a solid connection between information and real-world implementation

Data Curation

We can help you navigate the vast landscape of data, ranging from small flat-files, connecting to data vendor APIs, to massive cloud databases terabytes and beyond. We assist your organization in extracting maximum value from data via reports and applications to deliver actionable information to you and your stakeholders. 

Software Development

We tailor dynamic and scalable solutions unique to your organization's needs. Our cloud-based approach eliminates unnecessary waste of compute and storage resources while providing the flexibility to scale up as demands increase. Whether it's enhancing the front-end user interface, optimizing backend systems, or implementing data processing solutions, we work with you to fulfill your requirements. 

Upon delivery, our software is made available to our clients as open-source under the Apache 2.0 license. This empowers your organization and others to utilize and contribute to ongoing enhancements, fostering collaborative support for the evolution of transportation solutions. 

Specialized Applications

Road Quality

We deliver road quality insights crowdsourced from consumer connected vehicle drivetrains to provide decision makers with near-real time quality reports.

Road Friction

We provide friction insights crowdsourced from consumer connected vehicle drivetrains to aid in winter maintenance decisions.

Implementable Research 

The below research was developed at Purdue University and are ready to be implemented.


Stockpile Inventory: Integrated LiDAR network to inventory over 120,000 tons of salt. 

Statewide Implementation Paper


Automated Material Application: Implemented a GPS controlled system to automate material application and reduce driver distraction.

 Brine Truck Automation Paper  


Driver Stress: Utilizing driver inputs to rank road network stress areas.


Traffic Signal Performance Measures: Using data recorded from traffic signal controllers to determine how signalized intersections are performing.

Indiana Traffic Signal Enumerations  

Contact Us