Carma Networks Inc. is engaged in developing and licensing technology solutions in the area of wireless infrastructure and automotive communications enabling intelligent transportation systems. We are also committed to delivering powerful, reliable and scalable technology solutions to serve the evolving needs in the automotive space through technology and service innovation.
Carma Networks Inc. is a startup venture, focused in the Technology data analytics company focus on Real-time data analytics and Building Big-Data analytics platform in the connected Automated Vehicles Space.
Carma Networks Inc. is a sivalley based startup with a strong team in sivalley & Bans India. We focus on Data collection, Data Management, Safety Mobile applications. Our team of highly skilled professionals in Big Data Management focuses on scalable high volume data management, data optimization and scalable and secured information delivery. We support both iPhone & Android devices for mobile applications.
What gets measured gets managed.
The reasons which behind our motivation are:
What gets measured gets managed.
"Carma Network’s analytic platform is a unified, integrated and complete Big data solution, managing high volume traffic data and generates business analytics to address the demands of traffic controllers, drivers and other decision makers. It offers time to value and price to performance superior to non-specialized offerings. It joins different tools for creating analytics systems together with an engine to execute;Big Data storage to store and manage high volume data, data mining processes, and techniques and mechanisms for obtaining and preparing data that is not stored.This solution may be delivered as an appliance (software-only, packaged hardware and software, virtual image), and/or in a cloud-based software-as-a-service (SaaS) form.The architecture features performance,cost effectiveness, scalability, and ease of operation advantages over the conventional RDBMS. Our Analytics platforms make use of in-memory concepts to secure and synchronize many processes that run in parallel. Apart from this, our platform use only inexpensive hardware that arereadily and already available. This is a software solution that can be deployed to any organization as a paid service."
As the newer data types, amount of data, analytic complexity and number of end users increases, ourplatforms offer a varied variety of choices that can help reduce costs and further help in achieving a proper informed decision.
What gets measured gets managed.
Moving vehicle detection has become increasingly important in transportation management and road infrastructure development. State-of-the-art moving vehicle detection techniques require multi-frame images or at least a stereo pair of aerial photos for moving information extraction. When we consider a heterogeneous traffic flow, there are two types of vehicles – the fast vehicle and the slow vehicle. The maximum vehicle speed in free flow of fast vehicle is higher than the one for a slow vehicle.
A slow moving vehicle (or SMV) is a vehicle or caravan of vehicles operated on a street or highway at speeds slower than that of other motorized traffic.Likewise, fast moving vehicles (FMV) are those vehicles which travel at a much faster pace and cover the same distance in a shorter time.Traffic image sensors can measure vehicle positions and vehicle movements on multilane. By using traffic image sensors, we can expect to realize automatic traffic flow surveillance to find traffic incidents without time delay. The accuracy of moving vehicle detection relies on the techniques of satellite sensor model refinement, image resolution, accuracy of vehicle image coordinates, accuracy of satellite time interval between Pan and MS, and DEM accuracy. This sensor imaging can at spot determine how many slow or fast moving vehicles are approaching a signal at a point in time like in a dashboard. This helps in re-defining the signal controls to avoid traffic congestion.
Dedicated Short Range Communications
DSRC (Dedicated Short Range Communications) is a two-way short- to- medium-range wireless communications capability that permits very high data transmission critical in communications-based active safety applications. In Report and Order FCC-03-324, the Federal Communications Commission (FCC) allocated 75 MHz of spectrum in the 5.9 GHz band for use by Intelligent Transportations Systems (ITS) vehicle safety and mobility applications.
DSRC based communications is a major research priority of the Joint Program Office (ITS JPO) at the U.S. Department of Transportation (U.S. DOT) Research and Innovative Technology Administration (RITA). The cross-modal program is conducting research using DSRC and other wireless communications technologies to ensure safe, interoperable connectivity to help prevent vehicular crashes of all types and to enhance mobility and environmental benefits across all transportation system modes.
The U.S. DOT’s commitment to DSRC for active safety communications contributes to safer driving. Vehicle safety applications that use vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications need secure, wireless interface dependability in extreme weather conditions, and short time delays; all of which are facilitated by DSRC.
DSRC was developed with a primary goal of enabling technologies that support safety applications and communication between vehicle-based devices and infrastructure to reduce collisions. DSRC is the only short-range wireless alternative today that provides:
DSRC enables the most reliable, high speed vehicle-based technology for crash prevention safety applications
DSRC provides for a broad cross-section of dedicated connectivity options for surface transportation safety
DSRC based communications serves as the basis for connected vehicle safety and mobility application integration
Potential DSRC Transportation Applications for Public Safety and Traffic Management
V2V is a crash avoidance technology, which relies on communication of information between nearby vehicles to potentially warn drivers about dangerous situations that could lead to a crash. For example, V2V could help warn a driver that a vehicle up ahead is braking and they need to slow down, or let a driver know that it’s not safe to proceed through an intersection because another car (yet unseen by the driver) is quickly approaching.
V2V communications systems are composed of devices, installed in vehicles, that use dedicated short-range radio communication (DSRC) to exchange messages containing vehicle information (e.g., vehicle’s speed, heading, braking status). V2V devices use this information from other vehicles and determine if a warning to the vehicle’s driver is needed, which could prevent a vehicle crash.
V2V messages have a range of approximately 300 meters, which exceeds the capabilities of systems with ultrasonic sensors, cameras, and radar – in some cases, by nearly twice the distance, allowing more time to warn drivers. In addition, these radio messages can “see” around corners or “through” other vehicles addressing, for example, scenarios such as those where an oncoming vehicle emerges from behind a truck, or perhaps from a blind alley. In those situations, V2V communications can detect the threat much earlier than radar or camera sensors.
Vehicle-to-Infrastructure (V2I) Communications for Safety is the wireless exchange of critical safety and operational data between vehicles and roadway infrastructure, intended primarily to avoid motor vehicle crashes.
V2I communications for safety is a key research program of the Intelligent Transportation Systems Joint Program Office (ITS JPO) program within the U.S. Department of Transportation’s (U.S. DOT) Research and Innovative Technology Administration (RITA).
The vision for V2I research is to enable safety applications designed to avoid or mitigate vehicle crashes, particularly for crash scenarios not addressed by V2V communications alone. Another important objective of the V2I research is national interoperability to support infrastructure and vehicle deployments.
The four major objectives of the technical V2I safety research program are: