Econolite is a key contributor and partner in virtually every connected/automated vehicle program. We are uniquely positioned to fulfill the V2I needs of connected/autonomous vehicle networks.
An example of Econolite’s focus on advancing real world connected vehicle applications is its participation in a Multi-Modal Intelligent Traffic Signal System (MMITSS) solution.
The Multi-Modal Intelligent Traffic Signal System (MMITSS) is an intelligent traffic signal system that operates in a connected vehicle environment (vehicle to vehicle – V2V; and vehicle to infrastructure – V2I). Econolite, in cooperation with the University of Arizona, Savari Networks, Inc., and other public agency stakeholders has helped develop a deployable MMITSS. MMITSS is supported by the CTS Pooled Fund project, as well as Maricopa County Department of Transportation, Arizona Department of Transportation, and California Partners for Advanced Transportation Technology (PATH).
MMITSS is an advanced traffic signal control system in which several priority requests from varying modes of transportation (e.g. emergency vehicles, public transit, bicycles, and pedestrians) are safely accommodated simultaneously. The system is a Connected Vehicle-based solution that identifies, prioritizes, and provides safe passage for several simultaneous authorized priority requests at an intersection.
SmartCross: an application installed on any Android Smartphone and in conjunction with a StreetWAVE ™ (RSE) can be used to request a pedestrian crosswalk signal. The application can smartly request for an extension of the pedestrian crosswalk in the event that the pedestrian has not been able to cross the street in the initial designated time. Furthermore, vehicles in the vicinity, equipped with MobiWAVE ™ can detect the location of the pedestrian thus warning the drivers. Econolite’s support for traffic control standards ensures that new innovative signal Apps like SmartCross can be safely implemented in the future.
StreetWAVE, MobiWAVE are trademarks of Savari Networks.
Signal Phase and Timing (SPaT): The SPaT message resident in Econolite’s Cobalt ATC traffic controller is based on the standards developed by the Battelle research group to support transferring SPaT status information between traffic controllers and SAE J2735 DSRC-based roadside devices and equipment. All Econolite traffic signal controllers, ship SPaT messaging-ready and enabled for deployment in the latest V2I applications and model deployment initiatives.
Connected vehicles are already starting to populate our roadways. The technology will transform our transportation system as we know it and unleash tremendous benefits for generations to come.Dismiss
Intelligent Transportation Systems are a fundamental component to the future infrastructure and network capabilities needed to improve the collection, aggregation, and use of data for Smart Cities.
Econolite and IBM started a collaboration to develop an innovative approach to enable predictive traffic management capabilities. The Traffic Predictive Pattern Solution (TPPS) is an integration of IBM Intelligent Transportation and Econolite Advanced Transportation Management Systems (ATMS). Representing a convergence of technologies, the Econolite-IBM collaboration will leverage Econolite’s Centracs ATMS to provide the traffic data required to power the predictive capabilities of IBM’s Intelligent Transportation solution analytics. In turn, IBM’s predictive information will be communicated back to the Econolite Centracs system to make appropriate traffic control pattern changes in advance of predicted increases in traffic volume.
The predictive capabilities of TPPS can include managed traffic volume, which generates the predicted traffic volume and travel times for all road segments in the network up to 60 minutes into the future. By pre-calculating volume predictions for all road segments at regular intervals, the prediction results can be pushed out to the decision support and traffic control systems, including dynamic message signs (DMS) and other traffic information applications, as they are computed at regular intervals.
TPPS will also target maintaining optimized traffic flow in the case of unexpected events, while also providing decision-making information used to bring traffic service back to normalized levels quicker and more reliably. TPPS will make it possible to share timely and actionable information with all roadway users, commuters, commercial, agency-to-agency, or on the Web.
In addition, The Econolite-IBM collaboration will focus on increasing intersection operational efficiencies. TPPS can trigger the switch to longer cycle length traffic signal plans to address predicted increases of volume before traffic over saturation or gridlock.Dismiss
We have a strong tradition of collaboration with universities and other research programs. Combining the ITS expertise of Econolite with the creativity of academia continues to foster innovation and discovery.
Econolite has been a long-time supporter of fostering innovation through academia and research, partnering with many universities and programs focusing on traffic management and safety. Recently, Econolite became a founding corporate partner of the University of Michigan’s Mobility Transformation Center (MTC), which is part of the University of Michigan Transportation Research Institute (UMTRI). As part of the USDOT’s Safety Pilot Model Deployment in Ann Arbor, MI, UMTRI has tested connected vehicles, commonly known as V2V communications, extensively. The National Highway Traffic Safety Administration (NHTSA) has used the results to support the recent Advanced Notice of Proposed Rule Making announcement. Connected vehicle technology, including vehicles that can communicate with one another and with the surrounding infrastructure (V2I), has the potential to avoid the majority of serious crashes when deployed.
With the help of the Michigan Economic Development Corporation (MEDC), MTC is working toward a two-year deployment of approximately 3,000 vehicles to create a major V2V deployment of 9,000 vehicles in Ann Arbor. The Center is also working with the Michigan Department of Transportation (MDOT) and other industry partners to provide sufficient V2I infrastructure in SE Michigan to support an unprecedented deployment of 20,000 connected vehicles. Econolite has committed to providing MTC with technology and expertise, along with traffic signal equipment necessary to support the connected vehicle model deployment test bed.
Aerial photo above, taken in early December (December 15, 2014) shows the road pattern of the 32-acre "mini-city" designed as the test environment for connected and automated vehicles.
As part of a larger signalized intersection performance measurement project, the Indiana DOT, Purdue University and Econolite collaborated to research intersection performance measurement, with a focus on identification of inefficiencies due to traffic signal programmatic errors, as well as, outdated signal timing programs. Econolite participated in the research project by initially providing its ASC/3 signal controllers as a data logger, and then later providing its Centracs advanced transportation management system (ATMS). The research program integrated Econolite’s Centracs as a commercially available centralized system that included the MOE and adaptive signal control software, as well as, the seamless communications with the controllers required to help drive the research and convert the data into user friendly and relevant information.Dismiss