Coverage & Conversations

Stories

Media coverage, founder interviews, research publications, and public conversations about Chartr and India's public transport transformation.

CS

In the Field

Case Studies

Media

News Coverage

Pune

Apli PMPML — The App People Love

Apli PMPML — Official App

Digital ticketing, live bus tracking, metro tickets & passes for Pune commuters. Built on Chartr's full transit stack.

Founder

Pravesh Biyani — Interviews & Conversations

Founder & Associate Professor, IIIT-Delhi

Pravesh Biyani

Researcher, entrepreneur, and public transport advocate. 7+ years building urban mobility systems at IIIT-Delhi, now scaling Chartr across India. Writes and speaks extensively on why public transport matters and how technology can make it work.

Academic

Research Behind the Platform

Over 7 years of peer-reviewed research at IIIT-Delhi directly translated into Chartr's products. These papers are the science behind what Chartr ships.

Published at IEEE ITSC, IEEE T-ITS, and COMSNETS — top venues for intelligent transportation systems research.

2023
ITSC 2023Journey Planning

No Transfers Required: Integrating Last Mile with Public Transit Using Opti-Mile

Raashid Altaf, Pravesh Biyani

Only 30% of Delhi bus/metro stops are directly reachable on foot — Opti-Mile solves this by combining last-mile services (rickshaws, shuttles) with public transit into a single trip plan. The research behind Chartr's multimodal journey planning.

2023
arXivJourney Planning

Stochastic Trip Planning in High Dimensional Public Transit Network

Raashid Altaf, Pravesh Biyani

Uses Gaussian Processes to find optimal routes across Delhi's combined bus and metro network in real time. Choosing stochastic shortest paths over deterministic saves up to 40% travel time. The algorithm behind Chartr's trip planner.

2022
IEEE T-ITS 2022AVLS / ETA

Traffic Estimation and Prediction via Online Variational Bayesian Subspace Filtering

Pravesh Biyani et al.

Published in IEEE Transactions on Intelligent Transportation Systems — Chartr's traffic prediction methodology for computing reliable ETAs even in the absence of dense sensor data.

2021
COMSNETS 2021AFCS / ETM

Demo Abstract: Contactless E-ticketing in Public Transport Buses

Rajan Girsa, Kshitij Srivastava, Atul Jain, Pravesh Biyani

Presented at COMSNETS 2021 — the academic paper behind Chartr's contactless ticketing product, demonstrating fare collection without physical contact, relevant post-pandemic for Indian buses.

2020
ITSC 2020AVLS / GTFS

Benchmark Dataset for Timetable Optimization of Bus Routes in New Delhi

Pravesh Biyani et al.

Real-time GPS data for 500+ Delhi bus routes with a timetable optimisation algorithm. The foundational data infrastructure work that preceded Chartr's AVLS, scheduling, and open GTFS dataset.

2019
ITSC 2019AVLS / ETA

To Each Route Its Own ETA: A Generative Modeling Framework for ETA Prediction

Charul, Pravesh Biyani

The research behind Chartr's bus ETA system. Works without large historical datasets, handles outliers and incomplete GPS data — exactly the challenge in Indian cities where infrastructure is sparse.

2019
ITSC 2019Last Mile

Improved Real Time Ride Sharing via Graph Coloring

Saatvik Jain, Pravesh Biyani

Real-time ride sharing optimisation using graph coloring algorithms — related to last-mile integration and the efficient pooling logic in multimodal transit planning.

2015
CODS 2015Traffic Intelligence

TrafficKarma: Estimating Effective Traffic Indicators

Kireet Pant, Dibyendu Talukdar, Pravesh Biyani

The earliest transport work — using public data to monitor and visualise city traffic patterns. Won 2nd runner-up at the CODS Data Challenge, Bangalore 2015. The origin of Chartr's data-driven approach to urban mobility.

Conference proceedings

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