Our TechiExpert readers would like to know how AI and big-data analytics improve route planning?
Unlike ride-hailing services, Routematic focuses on pre-scheduled transportation solutions. Leveraging AI and big-data analytics, Routematic excels in optimizing route planning and traffic management. By analyzing historical GPS data and accounting for special events, the platform uses predictive analytics to forecast travel times accurately. With GPS data from historic trips, it provides precise travel times for different hours of the day, ensuring accurate travel time, optimized route alignment, and efficient distance calculations.
Can you share an example of how real-time traffic data helped optimize routes?
Ans: At Routematic, we focus on predictive analytics for route planning and optimization, distinguishing ourselves from real-time navigation platforms like Google Maps. By leveraging historical data, we analyze travel times and implement strategies to optimize them effectively, including even the delays caused post entering the tech park.
For instance, when 1,000 employees commute to the office simultaneously, our system prioritizes minimizing costs and ensuring comfort over simply addressing traffic conditions. We predict the number of vehicles required with precision and strategically group employees to maximize vehicle utilization without compromising comfort.
A corporate client faced significant delays during peak traffic hours on a route to their Bangalore office. Using GPS data from historic trips, Routematic adjusted travel times and identified alternative paths to avoid high-congestion areas.
Instead of the usual Outer Ring Road, the system rerouted vehicles through less congested interior roads, reducing travel times by 20% during peak hours. This improvement enhanced employee punctuality and their overall commute experience.
Such optimizations not only save time but also cut fuel consumption, aligning with our clients’ sustainability goals.
Which AI/ML models are central to your route planning and travel time predictions?
Ans: Routematic employs advanced AI/ML models to enhance route planning and travel time predictions, ensuring efficiency and reliability. Key models include:
- Time Series Forecasting Models: These models analyze historical traffic patterns, peak hours, and seasonal variations to deliver precise ETA estimates for improved planning.
- Reinforcement Learning Models: Continuously learning from past trip outcomes, such as delays and diversions, these models refine routing policies over time to ensure optimal performance.
- Smart Dispatch Algorithms: Designed to maximize vehicle utilization, these algorithms minimize inter-trip dry runs. For electric vehicles (EVs), they autonomously handle dispatching to the nearest charging station, thereby addressing range limitations and ensuring optimal placement of charging stations.
What advancements do you foresee in fleet automation over the next 5-10 years?
Ans: Over the next 5-10 years, fleet automation is poised to revolutionize urban transportation. Autonomous vehicles will drive operational efficiency by reducing human intervention, significantly lowering costs. Smart city initiatives will enable enhanced data sharing and real-time traffic management, optimizing routes and easing congestion. The adoption of electric vehicles (EVs) will accelerate, driven by sustainability goals and innovations in battery technology, making EVs increasingly practical for fleet operations. Additionally, shared mobility services will grow, improving resource utilization and decreasing the number of vehicles on the road, contributing to a more sustainable and efficient urban ecosystem.
What safety measures are in place for employee transportation?
Ans: At Routematic, safety and compliance are our top priorities in corporate transportation. We utilize advanced technologies like real-time tracking and autonomous monitoring to ensure the well-being of every passenger. Each vehicle is equipped with an SOS button on both employee and driver apps, allowing immediate access to assistance in emergencies.
Our commitment to employee’s safety is highlighted by our unique safe drop system, which ensures that passengers are dropped off at secure locations. This system is supported by our dedicated operational teams who monitor every trip closely. With a particular emphasis on women’s safety, these measures ensure a secure and supportive travel environment, setting a high industry standard for corporate transportation services
Future growth and expansion plans of Routematic?
Ans: Routematic is poised for significant growth, both in solution offerings and geographic expansion. In the solution space, we aim to become the Superapp—the ultimate hub for corporate transportation. By 2026, we plan to broaden our scope beyond corporate transport into underserved areas like visitor taxi management and carpooling.
We are also deeply committed to decarbonization by optimizing our commute solutions to reduce fuel consumption and carbon emissions, aligning with sustainability goals.
To further strengthen our position, we are focused on forging strategic partnerships that will expand our global footprint and enhance our service offerings. By actively listening to customer feedback, optimizing shared rides, and integrating cutting-edge technologies, we continuously improve our services, driving customer loyalty and maintaining a competitive edge in the evolving corporate mobility space.
Routematic is the fastest-growing urban mobility company in India, operating in 21 cities and serving over 200 clients. We cater to the commuting needs of more than 300,000 users monthly, managing 5 million rides every month.
