Tag Archives: transport

BMTC Intelligent Transportation System (ITS) and need for Open Transport Data

Bangalore Metropolitan Transport Corporation (BMTC) has recently launched its Intelligent Transportation System (ITS) in May’16. First announced in 2013, this was one of the systems most data enthusiasts in urban transport were eagerly waiting for. The system was designed to scale on paper and BMTC made sure the data rights of data being generated are with them instead of the contractor. Even with extreme planning, the system was delayed by 2 years and has several issues with it. Some of these issues have been highlighted to BMTC by members of datameet’s transport working group with suggestions to make it better in early June.  Along with the suggestions we had several questions regarding the project, we have asked BMTC to help us understand the ITS system in a better way and expressed interest to be part of the Evaluation & Monitoring (E&M) of the ITS project.  It is important that the project is closely monitored to improve public transportation for Bengaluru.


We also shared some of the previous work carried out by members of the group and suggestions to use open transport standards like GTFS, usage of openstreetmap data to reduce maintenance costs for currently using third party services like Google Maps which is not entirely free.

Members of datameet have been working on transport data of BMTC since 2010. Thejesh GN hosts static data of routes and schedules  of various years through his project OpenBangalore.  As a community of researchers, data users and enthusiasts we have been studying and experimenting with the evolution of data practices in India. Open Data is helping us be aware of our surroundings and also contribute back to the city in our own way. BMTC’s ITS implementation is a opportunity for most of us, we can potentially use GPS data to understand traffic patterns, rash driving of bus drivers, skipping of bus stops and trips. The ITS system will help the commuters more than ever if being utilized the right way. Open Data can help make this dream a reality by letting any commuter analyze his ride. Officials of BMTC has made announcements of bringing up a data sharing policy on the lines of National Data Sharing and Accessibility Policy (NDSAP). In this regard we requested them to host a public consultation for their draft data sharing policy. We hope we can help BMTC and Bengaluru in a better way by bringing a policy suitable for all commuters and not just data users.


{Ahmedabad} – 2nd Meetup

Data{Meet} Ahmedabad – 2nd Meetup

Data{Meet} Ahmedabad - 2nd Meeting

Data{Meet} Ahmedabad – 2nd Meeting

Our 2nd meetup was held at IIM-A, under the aegis of the RTE Resource Centre, with 20 participants; half of them had attended the 1st meetup.

Talk #1: All walls come down – by Ashish Ranjan, RTE Resource Centre, IIM-A

The first talk in the 2nd DataMeet of Ahmedabad Chapter brought forward the efforts being put together by the team RTE, working out of IIM-Ahmedabad. The team members present at the venue were Prof. Ankur Sarin, Ashish Ranjan, Advaita R and Nishank Varshney. Ashish presented their journey of supporting the implementation of RTE in the state of Gujarat.

The Right to Education (RTE) act Section 12 requires schools to enrol a certain number of children from economically weaker families. The RTE Resource Centre (rterc.in) organises pre-enrolment campaigns for the benefit of prospective students and their parents, and has enlisted NGOs for hand-holding the children post-enrolment. The talk gave a glimpse of their experience in Ahmedabad, observations from Maharashtra, and the data-related challenges they faced.


The management of this important activity was being done manually. This threw up many problems:
The registration of beneficiary families was often incomplete, with partial addresses – recording just the area of residence e.g. “Jamalpur”. This lead to many parents complaining about non-receipt of allotment letters..
There was no mapping of schools or beneficiary families, which could have aided better matching of children and schools.

A study by the team RTE revealed how a large number of schools were finding their way around the RTE mandate. These methods include making demands of un-required documentation of the parents to, tricking the MIS systems which enable applications from parents, into counting the ages of the children eligible for the schools as ineligible amongst various others. Nishank pitched in with instances from Maharashtra, where the minimum and maximum permissible age limits were deliberately entered by schools in such a way that potential students would be under age during an admission year, and over age the next year, effectively excluding them. In some particularly bad cases, the difference was one day: the child would have to be born on a specific date. For lack of efficient and transparent allotment processes, there were cases of candidates getting multiple admissions (as much as 18) while some did not get any. To bring out all these analyses, though, the school and student data from the Maharashtra RTE website had to be painstakingly downloaded, manually. Many DMers offered support to gather this data more easily.


The team was quite inspired by the school map of the Karnataka Learning Partnership (klp.org.in/map) and wants to build such a comprehensive tool for themselves, with features to find schools within a specified distance, and help match students with schools. Unlike the Karnataka programme, there still is no MIS in place to facilitate the enrolment and selection process. Shravan suggested that it might be possible to use the codebase of KLP and adapt it for use in Ahmedabad. Hopefully, the D{M} folks will volunteer for the necessary support.

The RTE team also wants to build a tool to track the performance of enrolled students. They discussed about the potential privacy issues involved in this. It was suggested that the performance reporting to be published on the website could be at an appropriate level of aggregation which safeguards privacy and preserves discernible performance stats. The possibility of using ODK for volunteer led data collection was also discussed.
Getting together at the meetup opened up many possibilities for collaboration from the participants as a few of them came forward with suggestions and also extended their support to this cause.

Talk #2: Public Transport of Ahmedabad

Jayesh Gohel is not your everyday architect. He dropped out of his course at CEPT because he got too interested in code and soon enough he started enjoying making websites. Being an Amdavadi, he noticed the lack of infrastructure, both digital and non-digital in supporting the commuting that AMTS enabled in the city and so he decided to work on amtsinfo.in – the unofficial official support and information website for the Ahmedabad Municipal Transport Service.


At the 2nd Datameet in Ahmedabad, Jayesh inspired the audience with his experiences with developing the website with the sole aim of solving the information problem related to the rather important and convenient network that AMTS is. Jayesh’s talk was simple and spoke about his personal motivations and learnings in the course of the development of this app. It also brought to the light the issues that plague the archaic systems that govern our modern lives, which can otherwise be so easily solved with the use of digital technology. However, ‘there’s hope if all of us take initiatives’, Jayesh said.

Open Transit Data for India

(Suvajit is a member of DataMeet’s Transportation working group, along with Srinivas Kodali, we are working on how to make more transit related data available.)

Mobility is one of the fundamental needs of humanity. And mobility with a shared mode of transport is undoubtedly the best from all quarters – socially, economically & environmentally. The key to effective shared mode of transport (termed as Public Transport) is “Information”. In India cities, lack of information has been cited as the primary reason for deterrence of Public Transport.

Transport Agencies are commissioning Intelligent Transport Systems (ITS) in various mode and capacity to make their system better and to meet the new transport challenges. Vehicle Tracking System, Electronic Ticketing Machines, Planning & Scheduling software are all engines of data creation. On the other side, advent of smart mobile devices in everyone’s hand is bringing in new opportunities to make people much more information reliant.

But the demand for transit data is remarkably low. The transit user and even transit data users like City Planners should demand for it.
The demand for Public Transport data in India should be for the following aspects:

A. Availability
To make operation and infrastructure data of Transport operators easily available as information to passengers in well defined order to plan their trip using available modes of Public Transport.

B. Interoperability
To make transit data provided by multiple agencies for different modes (bus, metro, rail) usable and make multi modal trip planning possible.

C. Usability
To publish transit oriented data in standard exchange format across agencies in regular frequencies to provide comprehensive, accurate and updated data for study, research, analysis, planning and system development.

D. Standardisation
To be a part of Passenger charter of Transport Operators to publish their data in standard format and frequency. This can also serve as a guideline for Transporter Operator while commissioning any system like Vehicle Tracking System, ITS, Passenger Information System, website etc.

What kind of Transit data is needed ?

  • Service Planning data

It will comprise of data on bus stops, stations, routes, geographic alignment, timetables, fare charts. With this dataset, general information on transit service can be easily gathered to plan a journey. Trip Planning mobile apps, portals etc can consume this data to provide ready and usable information for commuters.

  • Real time data

A commuter is driven by lot of anxieties when they depend on public transport mode. Some common queries; “When will the bus arrive ?”, “Where is my bus now?”, “Will I get a seat in the bus ?”, “Hope the bus has not deviated and not taking my bus stop.”.

Answer to all this queries can be attended via real time data like Estimated Time of Arrival (ETA), Position of the vehicle, Occupancy level , Alert and Diversion messages etc. Transport Operator equipped with Tracking systems should be able to provide these data.

  • Operational & Statistical Data

A Transport Operators operational data comprises of ticket sales, data of operation infrastructure and resources like Depots, Buses, Crew, Workshops etc. As operatore are tending towards digital mode of managing these data it also makes a good option to publish them at regular intervals.

A general commuter might not be interested in this data, but it will very useful for City Planners to analyse the trend of commute in the city and make informed decision. City transport infrastructure can be planned to orient it towards transit needs and demands.

The transport agency can benefit highly by demonstrating accountability and transparency. They can uplift their image as a committed service provider thereby gaining for passengers for their service.

So, together it will make a thriving landscape, if the data creators of Public Transport in India provide their data in Open which can be consumed by a larger set of people to build platforms, applications, solutions for transport study, analysis & planning across different section of users.

Open Transit Data is the tipping point for Smart Mobility in India.

That is why we have started putting our thoughts together and began writing an Open Transport Data Mainfesto.