Intelligent Transportation Ecosystem

IoT, ITS, and the Talksum Ecosystem

We want self-driving smart cars!

Dale Russell, CTO, Talksum, San Jose


We’ve been hearing a lot about of Internet of Things (IoT) for the last decade. IoT is coming, IoT is here, IoT and Big Data…


Many of the people talking about IoT are from the computer industry. They’re selling us on a new market valued around $1.7 Trillion in 2020. While convincing us to invest in the IoT sector they will then point to a repackaging of a computer or data center solution. You can buy several brands of set top-media players listed as an IoT device. Upon further inspection they’re a small computer with a HDMI connector and a wireless network card connecting to a web service. Smart watches are but Bluetooth devices for your smart phone; a computer accessory. We have gone from Internet Hosting, Web Services, Cloud Services, and now IoT by  just a release of smaller computers and distributed web services?


That’s beginning to change and the consumers will be driving the market so to speak. We want self-driving smart cars! Automobile manufactures old and new are all working on developing self-driving modules, most governments want Intelligent Transportation Systems (ITS), and we as the consumer want gadgets!


What gadget is cooler than self-driving cars?


The consumer’s desire is to also bring infotainment and entertainment, social groups, smart devices, as well as personal data contracts and other services along for the ride. When you combine all the wants of the consumer we have the beginning of the Digital Transportation Eratm. We want self driving cars, traffic re-routing for first responders, reduced traffic congestion, quieter roads, and cleaner air. With all of these wonderful goals the automobile has become the consumers’ mobile data center bringing all of the same security concerns as an internet data center and many more. Automobile manufacturers, government and regulatory bodies, insurance and telematics services, and internet media providers all bring their own protocols into this new mobile data center. The new Smart Car will need to be considered part of the larger ITS and IoT clouds.

Intelligent Transportation Ecosystem

To meet the challenges of the Digital Transportation Eratm the vehicle needs to be an integral part of these new ecosystems. The Intelligent Transportation Systems will include new networks, data management, and new standards and protocols such as: Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), Signal Phase and Timing (SPaT), and many yet to be legislated. These signals must be introduced in a manner that ensures validity and security to protect against DDoS attacks against these public networks. The introduction of Internet Services, Fleet Management, Insurance, and Telematics into this mobile data cloud also requires that firewalls and gateways are needed to ensure that the automobile is securely protected.


Automobiles already generate large streams of data from in-vehicle busses measured in gigabytes an hour. The additional radios, GPS, mobile carriers, infotainment systems, and self-driving systems will make data management and security to this new mobile cloud platform a must.


Some of the Challenges:


  • Cybersecurity Protection from DDoS, Man in the Middle, and other Internet Attacks
  • Real-time Validation and Insights from these Data Streams
  • Normalization of Standards and Protocols (CAN, LIN, I2C, WAVE, OpenXC, ASN.1…)
  • Extensible Design for Future Standards and Protocols (NHTSA)
  • Regulation Compliance


At Talksum we deliver a real-time scalable ecosystem that answers these concerns. Talksum is a Data Routing Engine that is deliverable as a Data Center solution, as a Virtual Router for Cloud deployment, as well as Embedded on select ARM, AARCH64, and customers’ boards. The Talksum product family provides a scalable and holistic ecosystem from the Dashboard to the Data Center.


We will be presenting this spring and summer at several conferences where will be discussing the Talksum Ecosystem. Until then follow this blog as next we will discuss the overlaps of the above networks and ecosystem requirements.

Solving Two of the Biggest Challenges of IoT: Data Lag and the Interoperability of Things

Barry Strauss, Talksum Head of MarketingBarry Strauss, Head of Marketing, Talksum

Processing large volumes of disparate data coming in at high speeds (aka Big Data) not only requires vast computing resources, it also takes a long time. The delay in time from when the data is received to when it turns into actionable insights causes financial losses, which can include costly infrastructure, down time, operational inefficiencies, disaster recovery costs, policy violations, security violations, costs of standardization, and lost opportunities, among others.

What is the source of the problem? Existing solutions first store the data, then make sense out of it when needed. By doing this, 80 percent of an analytics project typically involves data preparation for analysis when it is needed, leaving only 20 percent for actually performing the analysis. Data preparation includes items such as indexing, mapping, data reducing, organizing, and cleaning.


Traditional approaches try to solve this by making storage bigger and faster (improving traditional databases and building new storage solutions such as Hadoop, in-memory, and others), and building better analytics on top of it. But this comes with complexity and implementation expenses, as well as scalability and stability concerns.

Enter the Talksum solution, which takes the approach of first understanding the data and acting upon it in real time before storing. The hardware-based solution allows enterprises to apply business logic early in the process before data is stored; optimizing what needs to be acted upon in real time and what needs to be routed to respective downstream sources.

This approach also allows enterprises to efficiently manage, distribute, and track real-time Internet of Things (IoT) data. The Talksum solution provides the “Interoperability of Things” for the Internet of Things. Talksum products – the Talksum Data Stream Router™ (TDSR™) and the Embedded TDSR (eTDSR™) – connect data sources coming from multiple systems in different schemas, protocols, and formats. The solution can also extract, transfer, and asynchronously load data to different storage systems, providing interoperability to the systems that would otherwise live in silos.



The TDSR/eTDSR solution works at both remote sites (IoT, Smart Cities) and at the data center. Each can be independent of the other or can work together.

At remote locations, the eTDSR collects any type of sensor data, filters it, determines critical events, and contextually routes the relevant data to the appropriate services, including the data center.

At the data center, the TDSR retrieves data from the eTDSR and other sources for consumption by respective applications and data storage systems. It forwards relevant information back to the remote sites, to data centers, and to multiple domains, as applicable.

If you are interested in more information about the Talksum IoT solution and how it can help your organization, fill out our contact form and we will get back to you as soon as possible.


Click here for more information about Talksum products.



The Importance of Handling Stale, Out-of-Date Big Data

Dale Russell, Talksum CTODale Russell, CTO, Talksum

Last month, freelance writer Loraine Lawson wrote an article in IT Business Edge entitled Three Reasons Why Life Cycle Management Matters More With Big Data. In the article, she points to the following three reasons why life cycle management matters more with Big Data:

  1. Big Data grows ridiculously fast. According to Maria C. Villar, managing partner of Business Data Leadership, each day we create 2.5 EB of unstructured and structured data. She goes on to say that “a single jet engine can generate 10 TB of data in 30 minutes.”
  2. Most Big Data is ephemeral by nature. It not only grows at a fast rate, it also becomes outdated too quickly to be useful.
  3. Out-of-date Big Data can undermine the results of your business analytics.  A lot of data gets outdated quickly. Since you often look for deviations from normal conditions, she adds that real-time monitoring plays a major role in many Big Data use cases.

With this in mind, you can see how the market has added to the three defining properties of Big Data – volume, variety, and velocity – which was introduced as the 3Vs in a 2001 MetaGroup research publication. We now have to look at the affect of stale, out-of-date Big Data on business, as well as how it affects consumers and ultimately everyone. An organization doesn’t care when things are under control, it’s when they fail or take a wrong turn that is critical.

As an example of this, let’s take a look at the automotive industry, which is currently testing vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) digital short-range communications (DSRC) processing solutions for the “connected vehicle.” In this market, high-volume data processing of 1 million+ events/sec is required, along with real-time management and routing of sensor data, which affects engine performance, braking, direction of travel, velocity, road conditions, emergency circumstances, navigation, and other time-sensitive operations. You get the picture; stale data turns into nightmares and catastrophes.

In this connected vehicle scenario, where cars and emergency vehicles “talk” to each other, as well as to remote data centers, it is extremely important to process the data as it comes in, to reduce the data so as not to overload the system, and to act on the “alert” data, in real time, to avoid catastrophes and ensure smooth V2V and V2I operations. The Talksum Data Stream Router™, or TDSR™, does just that. It is designed to accelerate real-time decisions by improving data acquisition and transformation and converting data into flexibly managed event streams. Using the TDSR, different types structured and semi-structured data can be ingested and normalized, non-critical data can be reduced without losing the informative part, and the critical data can be routed appropriately.

In addition, the TDSR includes the foundational components for regulatory compliance, government standards, and policy control, which are mandatory in the automotive market.

This is just one of many examples for handling ridiculously fast-growing Big Data, processing it before it becomes stale, and reducing, filtering, monitoring, and routing the data in real time to avoid disasters and to keep operations running smoothly – ultimately resulting in an efficient and safe solution. To view other examples, click Talksum Data Stream Solutions.


Telematics Detroit 2013

Barry Strauss, Talksum Head of MarketingBarry Strauss, Head of Marketing, Talksum

Next week (June 5-6), we will be participating at the Telematics Detroit 2013 Conference & Exhibition, which is the world’s largest and most influential business-focused conference and exhibition for the entire telematics ecosystem. Over 1800+ executives attended the last conference, along with 100+ industry pioneers speakers.

This year, there will be keynote sessions by a wealth of industry leaders covering topics ranging from the new telematics universe, the global connected consumer, new connected car technologies, and Big Data and the connected vehicle. Speakers will include Audi, BMW, Chevrolet, Dodge, Ericsson, General Motors, Honda, Jeep, Kia Motors, Mercedes-Benz, Pioneer, Qualcomm, Sprint, Toyota, U.S. Department of Transportation,  Verizon, Volvo, and many others.

As a sponsor and exhibitor, we will be unveiling our high-speed V2V and V2I DSRC solution for the connected vehicle. In addition, we will be showing how we offer a real-time Big Data solution to help with 2013 NHTSA compliance needs and initiatives. More to come about these in the next blog entry.

If you will be at the Telematics Detroit Conference & Exhibition, let us know beforehand so that we can set up time to chat. If you would like more information on our product and vision, please contact a Talksum representative here.

Bridging the Gaps (Part 1 – Physical Gap)

“The interesting problems are the ones that require a bit of abstract thought to find a solution.” 

A very good friend of mine, Pierson Washer (Mercedes repair shop owner and novice AFM racer #983) asked if we could get the same racing telemetry as MotoGP from his SV-650 “Super Dinosaur” class racing bike. He was trying to give me a hard time thinking I would respond with “It’s not that simple, you first have to get the data on a network…” and begin rambling about RFCs and protocols. Well, not this time, earlier that day a question had come up on demonstrating bridging 1st mile of embedded device data complex event processing. I can think of no more interesting fast data platform to analyze in real-time.

A very non-traditional fast data platform…

Fast Data Platform

 The SV-650 has no modern electronics other than the telemetry system we put together from an Arduino and two Digimesh XBee 2.4gHz radios. This test was simply to validate the radios work at the ranges we need them to, and that we get a stream of data back from the track at speed. Sorry Pierson, you’re still not faster than an rf signal… The radios worked flawlessly.


Our Test Pilot and Track Preparation

Preparing Bike for Track Test

Pierson Washer, #983 has been kind enough to allow us to use his race bike as a test platform. If you look closely you will see the antenna poking out from between two masonry sponges. We have everything wrapped up in duct tape and securely zip tied  inside the tail fairing.

I will not go in to detail on the actual telemetry package build out here, there will be a link below. 


Snippet from the OSEPP ACCEL-01 Senor

We captured and sent a simple 3-axis message from our OSEPP Mega 2560 R3 board with an OSEPP ACCEL-01 i2c sensor in real-time over rf to the pit. Below is a small snippet of data with the OSEPP example code for the sensor from a data platform moving at 140mph, no wires, and closed network.

Msg ID: 2391, Sensor: 29, X: -28, Y: -239, Z: -105
Msg ID: 2392, Sensor: 29, X: -49, Y: -251, Z: -134
Msg ID: 2393, Sensor: 29, X: 7, Y: -185, Z: -101
Msg ID: 2394, Sensor: 29, X: -54, Y: -152, Z: -43s

To be Continued…

What’s next? We continue our experiment at Buttonwillow Raceway on March 2nd and 3rd where we close the logical gap of doing useful things with these event messages. See you at the races…


link to racing, bike, and electronics –