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Enterprise solutions for IoT and smart city


Avnet Sigfox Conference 2018 in Hong Kong will showcase Avnet’s innovative enterprise solutions using Sigfox’s proprietary network technologies to support companies embarking on Internet of Things (IoT) projects. The conference will demonstrate it’s capabilities at implementing Sigfox services within Avnet’s end-to-end solutions, which will help bring customers’ ideas to market.

Avnet is able to successfully provide an integrated ecosystem that connects different parties with the three major types of Low-Power Wide Area Network (LPWAN)  technologies — Sigfox, LoRa and NB-IoT.

Sigfox holds competence in LPWAN which is suitable for IoT connectivity and machine-to-machine (M2M) communications. Suited for long-distance data transmission (more than 20km) means, they are a fit for most smart city applications.

“We can customise solutions and designs, and bundle the required products and services with system integrators, service providers, device manufacturers, cloud platform providers, and components suppliers to simplify complexities of the IoT ecosystem, thereby reducing time to market. Through this integrated approach, we can support and drive IoT initiatives for our customers,” said Joe Chung, director, solutions development, Avnet Asia.

Frank Sauber, Director Ecosystem at Sigfox commented, “Avnet is a key technology enabler in Low-Power Wide Area Network technologies, and through our close collaboration we are providing a wide range of robust offerings from leading ecosystem partners that are suitable for a host of IoT applications–from asset tracking/logistics to industrial sensing as well as smart metering, waste management, security and more.”

Avnet is committed to establishing itself as the partner of choice in the development of LPWAN and IoT solutions through a series of partnerships in Asia. It will be using the event to demonstrate its capabilities.


The IoT is driven by network


Cisco at the recent MWC 2018, rolled out a new networking and device management platform for Internet of Things (IoT) practitioners.  The new platform is known as Cisco Jasper Control Center for NB-IoT. It enables the creation of extremely large-scale deployments without breaking the bank.

The platform optimises device communications over low-power wide area networks. IoT at scale can be expensive in terms of delivering basic device inter-connectivity and management costs. Therefore IT buyers seeking to build an IoT solution at scale, need to tick a number of boxes when researching an IoT platform partner shares GlobalData a leading data and analytics company.

Brad Shimmin, Service Director, Global IT Technology and Software, at GlobalData commented, ‘‘This is especially true for companies seeking to optimise operations and explore data-driven business opportunities across an existing, sizable base of customer products like toasters, refrigerators, or mobile phones. However, bandwidth is not cheap, nor is the back end processing power required to support a huge number of devices”.

IT buyers need to carefully consider the language spoken across an IoT network, selecting a platform partner capable of tackling the task at hand in the most efficient manner. Cisco Jasper Control Center software has already garnered the interest of some sizable telecom operators with more than 15,000 end customers. One operator in particular, China Unicom, intends to use Cisco’s new platform to eventually scale to support over 100 million new IoT devices over the next 24 months.

Currently, IoT developers can pick and choose from among a plethora of protocols, some built to purpose like MQTT, others repurposed from more generic communication requirements as with HTTP. However, not all IoT protocols are created equal. Regardless of network efficiency, some IoT protocols will simply cost more to operate than others, especially at scale.
For most cloud IoT providers a protocol like MQTT affords a more refined approach to communications, with a refined approach to billing. Customers using MQTT, however, are only billed for messages specific to actionable requests, and not for messages used to simply maintain state or make or break a connection.

Shimmin continued, ‘‘That sort of scale will be crucial for market opportunities like smart cities and agriculture, where transformational business insights depend upon a real-time, holistic view of all instrumented devices. Solutions like Jasper Control Center for NB-IoT serve as a reminder that the best solution to the performance / cost equation lies in controlling both network bandwidth usage as well as device power requirements. IoT practitioners need to consider not only the medium (the network) but also the protocol, which is the language spoken between devices and back end services.’’


Rough IoT Connectivity? Find the First Step to Solution


Every time I speak with an IoT solution creator in the country, all I generally get to hear are their tales of struggle and worries on reaching out to an appropriate IoT connectivity and management solution provider. “It is difficult to spot a suitable telecom provider and the connectivity and management solutions that it provides towards IoT in India,” say a majority of the entrepreneurs working on IoT driven solutions.

This urged my mind to conduct a brief research on the IoT connectivity and management solutions offered by telecoms in India at present. With the valuable feedbacks from our readers we eventually will add on and modify the basic content of the story. Hopefully, this article will be able to give you at least a rough draft of how telecoms are enabling India’s drive towards IoT.

 Cellular or LPWAN for IoT?

India as of now has two kinds of IoT connectivity – wireless cellular and Low Power Wide Area Network (LPWAN). Wireless cellular standard has been widely used in the country for mobile connectivity and is primarily being used for IoT connectivity in India now.

Wireless cellular has evolved from its 2G (GSM), 3G (GSM/CDMA) ranges of technology to 4G (LTE) and is gradually moving towards 5G in India (by 2020) for meeting the increasing machine to machine (M2M) connectivity requirements as needed for the IoT market.

Narrow Band IoT (NBIoT) – one of cellular advance technologies, is considered to be more suitable for IoT connectivity over other cellular technology as it matches the standards of LPWAN known to be the most appropriate connectivity solution for IoT.

Reason, LPWAN covers a wide area range of 5km to 40km and the distance between its final nodes and gateway can be as much as 10 km. Also, power consumption for LPWAN is ultralow, thereby providing more life to batteries that can last much longer compared to wireless cellular. IoT data pockets have low throughput requirements – best offered by LPWAN.

LoRa, a kind of LPWAN technology, can easily overcome high power consumption challenge and has an unprecedented reach, both underground and underwater. Its ultra-low power consumption allows the battery in a connected device last for more than a decade without any need for replacement.

Get Vodafone’s fifty free IoT Sims for start-up

If you are planning to flag off your own startup and working on IoT driven solutions, Vodafone’s Ready Start-up Kit launched last year can be of help. It offers rental free package for 50 IoT Sims for over a period of six months to help start-ups develop and deploy their solutions. Not just that, you will also get a complimentary access to its IoT Managed Connectivity Platform.

The IoT Managed Connectivity Platform enables you manage connectivity along with empowering you to control visibility and manageability of assets. It helps you by curbing your operational costs, securing end to end transactions with private APN services and enabling better management of these Sims.

Vodafone India is known for its cellular IoT connectivity in the country at present. The technologies involved in Vodafone’s wireless IoT cellular connectivity ranges from GSM (2G/3G) to Long Term Evolution – LTE (4G). In addition to cellular connectivity, it is working on certain technologies to fulfill LPWAN connectivity requirements.

Its Super IoT platform includes several IoT solutions like vehicle tracking, asset tracking, people tracking and smart meters. This platform enables enterprises avoid managing multiple suppliers and service providers by offering end to end management of device, application, connectivity, security, support and service platform.

Vodafone is also gearing up for an advanced cellular technology– NBIot that matches the technology standards of Low Power Wide Area Network (LPWAN). Once Vodafone’s NBIoT global pilots in Germany, Spain, Ireland and Netherlands are successfully deployed, Vodafone will launch NBIoT cellular connectivity in India.

Airtel has great news for global enterprises, OEMs

If you are a global enterprise or an original equipment manufacturer (OEM) and looking for an expansion in India, you can seek help of Airtel’s Connectivity Management Platform – a one-stop solution for all IoT connectivity needs. This platform enables users manage their IOT Sim cards easily.

Keeping in mind India’s immense drive towards IoT, Bharti Airtel has rolled out M2M Sims based on a range of cellular technologies – GSM (2G,3G), LTE(4G), TD-LTE, GPRS, EDGE, HSPA+, HSDPA, UMTS through MATES – Mobile Application Tools for Enterprises. It is an integrated telecom-IT application focusing on fleet tracking, remote working, digital signage, telehealth, telematics, asset management and mobile payment.

Airtel is now looking towards intensifying its cellular 5G font to roll out better IoT connectivity in the country. After a pact with Nokia last year, it has recently tied up with Ericsson for a strategic roadmap of connectivity expansion in India meeting the standards of 5G technology.

Apart from providing existing IoT connectivity based on cellular technologies and IoT solutions, Airtel is now working on making an entry into home automation sector by using its IoT and M2M solutions.

Advanced cellular NBIoT for Mumbai, thanks Reliance Jio

For Mumbai based IoT solution creators, there is great news. You can now have an access to Reliance Jio’s commercial NBIoT connectivity, launched in February, this year. The rest of India need not worry as Jio is expected to extend its NBIoT network across the nation soon.

It had partnered with Samsung last year to deploy cellular connectivity and has already covered a majority of Indian customers through its Long Term Evolution (LTE-4G) cellular connectivity at present.

Emphasising first on enterprises and industries to rein in IoT, Jio is on talking terms with car manufacturers and consumer durable companies to make an entry into consumer and IoT sector as well.

Reliance’s UNLIMIT to meet all IoT needs

Looking for a committed platform of IoT connectivity and solutions? Anil Ambani driven Reliance’s UNLIMIT can be of help. It is a Cisco Jasper cloud based connectivity platform solely committed towards expansion of IoT in India and has deployed wireless cellular LTE (4G) connectivity for IoT along with GSM (2G) connectivity for enterprises.

Its UNLIMIT Enablement ensuring easy deployment of cloud based IoT applications focuses on providing IoT applications in several areas like automotive, transport and logistics, utilities, industrial automation, banking, financial services and insurance (BFSI) and healthcare.

UNLIMIT has also joined hands with IBM for co-creating IoT solutions to enhance industry sectors including automotive, insurance, utilities and industrial automation.

User based insurance, asset and vehicle tracking, tower monitoring and transformer maintenance are certain segments that have benefitted from UNLIMIT’s IoT applications.

Get Idea on IoT connectivity via Idea’s 4G

Idea Cellular can be another choice for you with its cellular LTE (4G) connectivity towards IoT at present.

It is also taking baby steps right now to flag off its cellular 5G venture for providing better network towards IoT in India. Idea will shortly invest in advanced antenna technology like Massive Mimo as well as in Cloud for an enhanced 5G aided IoT connectivity in the country.

Idea Cellular’s upcoming tie-up with Vodafone India would enhance expansion of wireless 4G,4G+, 5G broadband services for offering quality IoT network in the country.

Need dual radio connectivity? Sigfox has it for you

What if you want to enjoy benefits of cellular connectivity along with that of Low Power Wide Area Network (LPWAN)? Sigfox is at your service with its dual radio solution for IoT connectivity in India.

Apart from providing both LPWAN Sigfox technology and cellular LTE-M and NBIoT connectivity separately, it has, with a chip designing company, come up with its hybrid connectivity solution enabling customers make use of the advantages of both cellular and LPWAN connectivity.

With a base station specifically designed for India offering connectivity, Sigfox also provides IoT consultancy for all stakeholders in IoT eco-structure empowering them to make appropriate decision regarding implementing IoT.

Tata Communications to gift LoRa to 100 new cities

Tata Communications, formerly known as Videsh Sanchar Nigam Limited (VSNL)  and got pulled under Tata Group in 2002, is all set to roll out IoT network in India using LoRa- a kind of Low Power Wide Area Network (LPWAN) technology. While it has already deployed LoRa based IoT network in 38 Indian cities last year, this year, Tata Communications would cover 100 more Indian cities under LoRa network for IoT.

It is heading towards spanning nearly 2,000 communities and over 400 million lives through its IoT network that would bring together devices, applications and other IoT solutions to create an India-wide mesh of smart buildings, campuses, utility sites, fleet management systems, security and healthcare services.

Tata Communication’s IoT network will act as the foundation for applications which, when connected to powerful cloud computing platforms will enable real-time big data analytics based on the huge volumes of data gathered by millions of IoT-enabled sensors.

BSNL getting set for IoT in rural India

The state run telco has taken several steps towards launching IoT connectivity and solutions in India last year. It all began with BSNL signing a memorandum of understanding (MoU) with Nokia at World Mobile Congress, 2017 for a gradual shift to enhanced 5G connectivity for supporting IoT network in India.

This agreement was followed by BSNL getting into another memorandum of understanding (MoU) with Coriant for leveraging 5G and IoT in the country.

Not just these, BSNL has tied up with Aeris Communications to offer packaged IoT solutions and services for enterprises, small and medium scale businesses and public sector undertakings with an aim of not restricting IoT to urban areas but also enabling IoT penetration in rural and remote India.

Major telecoms and their IoT connectivity solutions at a glance

Serial Number Telecom Present Connectivity Future Connectivity
1 Vodafone Cellular GSM (2G/3G), LTE (4G)/LPWAN (not as extensive as cellular) Cellular NBIoT
2 Bharti Airtel Cellular GSM (2G,3G), LTE(4G), TD-LTE, GPRS, EDGE, HSPA+, HSDPA, UMTS Cellular 5G
3 Reliance Jio Cellular LTE 4G, NBIoT Cellular NBIoT
4 Reliance Unlimit Cellular GSM (2G), LTE (4G) NA
5 Idea Cellular Cellular LTE 4G Cellular 4G/4G+/5G
6 Sigfox Cellular LTE-M, NBIoT/LPWAN Sigfox/ dual connectivity Cellular/ LPWAN/dual connectivity
7 Tata Communications LPWAN- LoRa LPWAN-LoRa
8 BSNL NA Cellular 5G


A test for telcos – Users place feed-backs

Although major telecom players have introduced cellular IoT connectivity in the country at present, it is not adequate for the IoT solution creators to keep pace with their global competitors, say the current users of IoT connectivity in India.

The quality of existing cellular connectivity is not at its best now. While few telecom providers have already begun working on improving the network structure, the creators are facing difficulties till the connectivity structure is made efficient.

Stressing on the fact that network providers should start implementing NBIoT solutions, the users said that with cellular network they get restricted to only testing of a particular solution. According to them, NBIoT connectivity is required for production purpose of the same.

System-on-Chip to Provide Innovation, Security to IOT Devices


In order to drive IoT innovations with built-in security and better connectivity, an Azure Sphere chip – MT3620 has been introduced, thanks to the initiative by Microsoft in association with MediaTek. Azure Sphere is the answer for building highly secured, connected Multipoint Control Devices (MCU) powered devices. It makes the enterprise level security affordable for a vast number of cloud connected devices.

This Azure Sphere Secure IOT platform supports numerous I/O peripheral subsystems for diverse IOT applications. A specialized chipset has been developed with a Wi-Fi connected controller built around a processor which is designed to run Azure’s IOT operating systems.

The chipset is embedded with highly reliable built-in security protocols, enabling customers to easily connect to their MCU powered products and devices across multiple industries with a trust that they are protected and secured.

The major goal of this technology is to ensure the secured reliability in IOT solutions from chip to cloud, thereby making connected devices practically sale-able and manageable for enterprises and consumers. MT3620 has an Arm Cortex-A7 application processor operating up to 500MHz, integrated with SRAM for highly efficient operations over a wide range of applications.

Regardless of price surges, large enterprises are working towards a similar goal to provide highest level of embedded security to connected IOT devices. There are more than nine billion microcontroller devices cropping up in the market annually, making it mandatory for companies to introduce new devices that ensures a longer foothold in the ever evolving IOT market. A new ecosystem is being created comprising silicon vendors, original device and equipment manufacturers from a wide range of industries.

Connected devices all around the world will soon be a reality with the major drop in the cost of billions of MCU powered devices like household devices, health monitors, children toys and industry level equipment. With more points of connectivity more points of insecure loopholes crop up. Hence, the transition of standalone MCU devices to cloud connected MCUs is done considering the various vulnerabilities of connected devices.

Qualcomm getting aggressive with its IoT enablers

Aiming at powering devices such as 360-degree cameras, robot vacuums and smart displays, Qualcomm has launched two new system-on-chips, SoC’s. QCS605 and QCS603 are the two new chipsets unveiled.
According to media report, the new SoC’s focus on artificial intelligence (AI), power efficiency and camera processing. Qualcomm claims that their work with cameras in smartphones has helped it improve the low light performance in IoT devices. For instance, security cameras can now process noise reduction in environments with low light or even pitch dark.

The company claims that the new chipsets will enable ‘superb image quality’ thanks to the Spectra 270 ISP. In terms of connectivity options aimed at IoT devices, the new SoC’s come with 2×2 802.11ac Wi-Fi, Bluetooth 5.1 and a number of Qualcomm’s in-house audio technologies including AptX.
Qualcomm has added more imaging tricks to prevent the ‘ghost’ effect in HDR video, advanced electronic image stabilisation, dewarp, de-noise and chromatic aberration correction.
The company has added the support for AI and neural processing frameworks such as Google’s Tensorflow, Caffe, Caffe2, Android Neural Network API and even the Open Neural Network Exchange format in addition to its in-house engines.
Not only this, Qualcomm has also introduced the Vision Intelligence platform. This will make The development of dedicated applications easier for them. Basic functions such as object detection, avoidance, tracking and facial recognition are best supported by the platform.
Further, strengthening it’s commitment, they have launched an AI engine, Snapdragon Neural Processing Engine (NPE). NPE is aimed to help developers, and will improve the on-device machine learning.
In addition to this, the company has also launched SDKs (Software Development Kits) so that developers can incorporate the code for improved camera processing and computer vision in their new apps.

Mumbai gets IoT-based consumer substation


Tata Communications enabled IoT (Internet of Things) based, Smart Consumer Sub Station (CSS) unveiled in Mumbai.

To provide a world class power experience to its customers, Tata Power has worked on Smart CSS solution. The company will enable the team with an overview of CSS spread across different zones and monitor its Distribution Substations which are spread out in the field.

The solution, CSS would provide timely alerts on a visual dashboard on handheld mobile devices to enable the field staff to proactively address any event.

Addressing Media, Ashok Sethi, COO and ED, Tata Power said, “The solution will further enable our Distribution team to monitor the Substations and Distribution Transformers in a very effective manner.” The solution is expected to provide a world class power supply experience to its customers.

V S Shridhar, Sr. Vice President and Head – Internet of Things, Tata Communications, said, “The Internet of Things has the power to make our lives less stressful, fire the engines of productivity, reduce energy consumption, improve healthcare, and create new disruptive business models.”    Read more…

4D analytics can optimise IoT Edge computing


Teradata has made available 4D Analytics, a new advanced analytics capability. This combines 3-dimensional geospatial location data with the 4th dimension of time.

This advanced analytics is especially relevant in edge computing applications that exist to manage constantly changing time and location variables. Teradata is integrating these capabilities – primarily geospatial, temporal and time-series data – into the Teradata Analytics Platform. Thus, the company is enabling its customers to operationalise enhanced IoT analytics use cases.

Souma Das, Managing Director, Teradata India said, “The announcement of the availability of ‘4D Analytics’ is very relevant to us as Automotive and Government industry verticals are our top focus verticals in India. 4D analytics functionality will empower our customers to analyse and manage data of constantly changing time as well as location variables such as cars, metro, planes etc. For instance, in Automotive industry you can look at Predictive maintenance, Usage Based Insurance, Intelligent Emergency Calling or Stolen Vehicle Tracking leveraging telematics and this functionality.”

The promise of IoT is clear, and for many industries, it’s a critical investment for the business. The Teradata Analytics Platform increases the return on this investment by making edge computing smarter and enabling business impact analysis, bringing deeper insights to traditional sensor data analysis.

The addition of 4D Analytics capability enhances IoT analytics by using insights based on both the time and “space” of a device, such as cars and wearables. Combining time-series (a series of data points collected at set intervals that shows activity and changes over time), temporal (for storing data related to relevant time periods) and geospatial data (that is associated with a device’s location), provides contextual analytics based on when and where.

The use of Teradata’s 4D Analytics capability exposes deep insights that enable new logic and rules to make the edge smarter. Enterprises interested in staying ahead of competitors can use the 4D Analytics capability to power a variety of enhanced applications, such as, wearables and personal medical devices to analyse data on patient heart rate and activity, to understand medication compliance.

Soumya Das further added, “In the Government sector, it’s a no-brainer that smart city projects will focus on using the data collected through a vast and complex network of sensors using IoT technology. It can also help in addressing larger issues such as good governance, security and traffic management to create sustained citizenship services.”

The new analytics can help the study of sensor data from a vehicle fleet, such as travel times and routes. This will optimise operations and predict the probability of a breakdown and the resulting business impact. Analysing data from individual cars to understand the difference between an accident and a near miss, making all cars smarter and safer, become easy.

The Teradata Analytics Platform, with its new 4D Analytics capabilities, is a foundational component of Teradata Everywhere: a flexible, agile and scalable way to ensure a high return on analytic investments. It is available in the cloud with the freedom to change deployment environments as business needs evolve.

Targeted marketing messages possible through LINE


In a move to help enterprise customers, Appier has integrated its AI-powered data intelligence solution, Aixon with LINE. The integration enables organisations using LINE Business Connect. It is a service for corporate clients that provides an API allowing access to various LINE account features, to generate powerful AI-driven insights into their followers and reach out to them with highly targeted marketing messages.

The integration opens up the potential for real-time cross-platform marketing. For example, if a LINE user shops on an e-commerce site but doesn’t complete the purchase, the site owner can send the user a message on LINE with a special offer to prompt him or her to complete the purchase.

“We’re delighted that Appier has integrated Aixon and LINE Business Platform. This enriches the functionality for LINE Business Connect customers and will give them deep insights into the usage trend and user behaviour, allowing customers to do more precise data analysis, information filtering and more effective data application. This is resonant with LINE’s mission, ‘Closing the Distance’ between users and businesses and services. We’re especially excited about the potential that this creates for cross-platform marketing,” said Benny Wu, Head of Platform Business of LINE Taiwan.

Aixon has a powerful predictive audience segmentation capabilities. Thus, the AI engine first cross-maps LINE user IDs with Appier’s CrossX database of over 2 billion user and device profiles. Then it segments them into keyword and interest areas. The organisation with the LINE Business Connect account can then use these target audience segments to send customised messages to the users.

“LINE is one of the most widely adopted messaging platforms and reaches hundreds of millions of people in Asia. It is an active and vibrant community which is a dream for marketers. They now have the added boost of the AI brain of Aixon which uses deep learning and machine learning technologies to help bridge the gap with their customers,” said Magic Tu, VP of Product Management, Appier.

The existing customers of Aixon and LINE will be able to start taking advantage of the integrated platform from June this year. To begin with targeted countries are Japan, Taiwan, Thailand and Indonesia.

Situational Intelligence can augment the decision-making process


For AssetWise CONNECT Edition, Bentley Systems has announced the early access of new data science and machine learning (ML) capabilities. Powered by Microsoft Azure,  AssetWise users can now leverage ML.

It will be an extension of the embedded analytics already available within AssetWise operational analytics and Asset Reliability services. This will guide actions and provide early warnings of impending asset failure or operational issues that previously remained undetected.

Paving the way for smarter and faster ways to make data-driven decisions, AssetWise now also provides an elevated level of situational intelligence.

Jim Newman, senior director of product management, Bentley Systems, said, “The new machine learning capabilities within AssetWise will allow our users to do even more with their data. Using a combination of R analysis, machine learning, and neural networks, our users can transform their business with the provision of comprehensive and advanced data analysis to help drive assets and operations to optimum performance.”

AssetWise users will better understand the patterns contained within their data, in less time. This new level of situational intelligence can augment the decision-making process for critical assets.

With the growth of operational data due to the Industrial Internet of Things (IIoT), interpreting data and turning it into actionable information is critical. Bentley’s ML capabilities provide a new level of insight into your data. Early adopters of AssetWise ML have taken advantage of pre-selected template algorithms and adaptive models to help predict events with little or no human intervention.   Read more…

ML can improve train delay predictions in India


Given the current delay trends, train delays can safely be considered part and parcel of train travel in India. Figuring out and letting the passengers know when a train is going to arrive at a station is like predicting the future. RailYatri, a travel start-up, has innovated a unique Estimated Arrival Time (ETA) prediction algorithm. Smart ETA uses Machine Learning (ML) and Statistical Modelling techniques.

The algorithm has been trained to analyse historical data of train runs spread over many years and predict the future outcome. Thus, Smart ETA predicts the arrival time of running trains at their upcoming stoppage with much better precision.

According to Kapil Raizada, Cofounder of RailYatri, “The existing method to predict the ETA of trains in India have not changed over decades and is typically based on the ‘distance divided by speed of the train added with some buffer time for safety formula. We believe that a much better technique is to make the ETA prediction based on historical data as it takes proper considerations of ground realities such as increasing traffic, rush, seasonality, etc. Our Smart ETA prediction algorithm is highly adaptive and modify themselves as it learns from subsequent inputs. Hence, the predictions get better with time.”

Multiple variables associated with the run of a train can affect the arrival time.
As per the surveys, what bothers the travellers most is the uncertainty around their train travel. Their frustration arises from the inability of the existing systems to correctly guide them on the ETA of their trains.

Passengers typically check the arrival time of trains about 2-4 hrs before the start of the journey and the new algorithm shows nearly 25 mins savings from unwanted wait time. This can also be a boon for Railways as they have to manage less crowd at stations with people knowing exactly when their train would be reaching the station.

“We believe that better prediction will not only save millions of hours which are wasted by passengers waiting for their train, but can also significantly impact traffic and rush at the railway stations,” added Mr. Raizada.

RailYatri’s Smart ETA Prediction makes use of Clustering Algorithms which organises historical train runs into thousands of patterns where time series data attributes are similar. Based on the symptoms exhibited by a running train, the ETA prediction algorithm matches through millions of permutations of patterns to make an optimised prediction in real time. As it does the forecast, the ML algorithm also determines any new running pattern which the train exhibits.