Intelligent Transportation Systems (ITS)
[Due to the increasing size of the archives, each topic page now contains only the prior 365 days of content. Access to older stories is now solely through the Monthly Archive pages or the site search function.]
CEN and ETSI deliver first set of standards for Cooperative Intelligent Transport Systems (C-ITS) in Europe
February 18, 2014
Standards organizations CEN and ETSI recently confirmed, at the 6th ETSI workshop on ITS in Berlin, that the basic set of standards for Cooperative Intelligence Transport Systems (C-ITS), as requested by the European Commission in 2009, have now been adopted and issued. The Release 1 specifications developed by CEN and ETSI will enable vehicles made by different manufacturers to communicate with each other and with the road infrastructure systems.
When they have been applied by vehicle manufacturers, the new specifications should contribute to preventing road accidents by providing warning messages, for example about driving the wrong way or possible collisions at intersections, as well as advance warnings of roadworks, traffic jams and other potential risks to road safety. This vision of safe and intelligent mobility can be achieved by utilizing wireless communication technologies to link vehicles and infrastructure and identify potential risks in real time.
Calif. ARB releases GHG scoping plan update; more ZEVs, “LEV IV”, MD and HD regulations; ZEV for trucks; more LCFS
February 11, 2014
The California Air Resources Board released the draft proposed first update to the AB 32 Scoping Plan, which guides development and implementation of California’s greenhouse gas emission reduction programs. The Air Resources Board is required to update the Scoping Plan every five years.
Among the actions proposed or considered in the transportation sector include aggressive implementation of the light-duty Zero Emission Vehicle standard; LEV IV emissions regulations for the light-duty fleet post-2025 (GHG reductions of about 5% per year); Phase 2 GHG regulations for medium and heavy-duty (MD and HD) vehicles; a possible ZEV regulation for trucks; more stringent carbon reduction targets for the Low Carbon Fuel Standard; and others.
Ford unveils Fusion Hybrid research vehicle for autonomous driving
December 13, 2013
|Ford Fusion Hybrid automated research vehicle with four LiDAR sensors. Click to enlarge.|
Ford, in conjunction with the University of Michigan and State Farm, unveiled a Ford Fusion Hybrid automated research vehicle that will be used to make progress on future autonomous driving and other advanced technologies.
The result of an ongoing project that builds on more than a decade of Ford’s automated driving research, the Fusion Hybrid automated vehicle will test current and future sensing systems and driver-assist technologies. Ford’s goal is to advance development of new technologies with its supplier partners so these features can be applied to the company’s next generation of vehicles.
NXP delivers first RoadLINK Car-to-X communications chip; in sampling with major automotive OEMs and Tier 1 suppliers
October 11, 2013
NXP Semiconductors N.V. announced that the SAF5100, the first product from the RoadLINK range, is now available for automotive customer design-in. The SAF5100 is a flexible software-defined radio processor for car-to-car (C2C) and car-to-infrastructure (C2I) communication, helping to realize NXP’s vision for a complete C2X (C2C+C2I) solution.
Scheduled for mass production in the second half of 2014, the SAF5100 is also the first product to become generally available from the MK4 reference design for connected vehicles, following its unveiling in July by NXP and Cohda Wireless, a leading specialist in wireless communication for automotive safety applications. (Earlier post.)
Ko-Fas project finds cooperative transponders and cooperative perception technology could bring significant road safety benefits
September 25, 2013
The 17 partners—including vehicle manufacturers BMW and Daimler; suppliers Continental and Delphi; and universities, institutes of applied science and research establishments—in Germany’s €25-million (US$34-million), 4-year Cooperative Vehicle Safety (Ko-FAS) research initiative presented the final results from the project last week in Aschaffenburg, Germany. The results showed that use of cooperative transponder technologies in combination with cooperative perception technologies could bring important benefits for road safety.
The aim of this project was to improve road safety significantly, with an attendant reduction in the number of road traffic accidents and fatalities. The approach centered on accurate detection of traffic environments using cooperative sensing and perception, comprehensive situation assessment to precisely evaluate collision risks, and subsequent activation of appropriate advance protection measures.
Nissan project in Beijing demonstrates Dynamic Route Guidance reduces fuel consumption and CO2 emissions
September 13, 2013
Results from Nissan’s New Traffic Information System Model Project in Beijing (earlier post) have demonstrated that Dynamic Route Guidance System (DRGS) can help alleviate traffic congestion and reduce fuel consumption. A simulation based on the project results suggested that when 10% of all traffic in Beijing used DRGS, due to reduced traffic congestion, travel speed throughout the city would increase by approximately 10% and both fuel consumption and CO2 emissions would decrease by approximately 10%.
DRDS distributes real-time traffic information from the traffic information center to onboard devices via telematics; the onboard devices show drivers the fastest route on the display. This large-scale project, involving 12,000 vehicles, is the first to demonstrate and measure traffic dispersion effects in a real setting.
Navigant Research projects autonomous vehicles to represent 75% of all LDV sales by 2035
August 20, 2013
|Autonomous Vehicle Sales by Region, World Markets: 2015-2035. Source: Navigant Research. Click to enlarge.|
In a new report, Navigant Research forecasts that vehicles with autonomous driving modes will gradually gain traction in the market over the coming two decades, from about 4% of the global light-duty vehicle market in 2025, rising to roughly 41% in 2030 and 75% by 2035—about 95.4 million units annually by then.
Navigant projects that the first fully autonomous functions will go into production in 2020, though the projected numbers will extremely low. The compound annual growth rate (CAGR) for the three largest markets (North America, Western Europe, and Asia Pacific) from 2020 to 2035 is expected to average approximately 85%.
New roadside scattering model to improve vehicle-to-vehicle communication for intelligent transportation systems
July 17, 2013
Researchers from Trinity College (Connecticut), North Carlina State University (NCSU) and General Motors (GM) have developed a model to improve the clarity of the vehicle-to-vehicle (V2V) transmissions needed to realize an intelligent transportation system.
V2V communication relies on transmitting data via radio frequencies in a specific band. However, the transmission is complicated by the fact that both the transmitter and the receiver are in motion—and by the reflected radio waves, or radio echoes, that bounce off of passing objects (scattering objects). These variables can distort the signal, causing errors in the data.
Cohda, BMW and Honda in V2V motorcycle study as part of DOT Safety Pilot Model Deployment
June 10, 2013
As part of the US Safety Pilot Model Deployment of connected vehicle technologies (earlier post), the University of Michigan Transportation Research Institute (UMTRI) will launch a motorcycle study to determine how cars, trucks, buses and motorcycles interact using V2V (Vehicle-to-Vehicle) communications technology.
Two tasks will be conducted in the Safety Pilot Model Deployment Geographic Area as a proof of concept for incorporating motorcycles into the connected vehicle environment: motorcycle communications feasibility testing and motorcycle-to-vehicle performance testing. UMTRI has partnered with two motorcycle manufacturers: Honda and BMW. Australia-based Cohda Wireless is providing the V2V connected vehicle equipment.
Toyota to launch new “Big Data Traffic Information Service” in Japan
May 29, 2013
|T-Probe traffic information (Traffic congestion status shown with color coding). Click to enlarge.|
Toyota Motor Corporation (TMC) had developed and will launch in Japan the “Big Data Traffic Information Service”, a new traffic-information service utilizing “big data” including vehicle locations and speeds, road conditions, and other parameters collected and stored via telematics services.
Based on such data, traffic information, statistics and other related information can be provided to local governments and businesses to aid traffic flow improvement, provide map information services, and assist disaster relief measures. Toyota will begin accepting applications from local governments and businesses across Japan to use the service starting 3 June. Concurrently, the existing smart G-BOOK telematics service for smartphones will be upgraded to allow private users access to Big Data Traffic Information Service content.
U-M launches Michigan Mobility Transformation Center; model deployment for testing connected and automated vehicles and systems
May 14, 2013
The University of Michigan announced the establishment of the Michigan Mobility Transformation Center (MTC) as a partnership with government and industry to improve the safety, sustainability and accessibility of the ways that people and goods move from place to place.
A key focus of the MTC will be a model deployment that will allow researchers to test emerging concepts in connected and automated vehicles and vehicle systems in both off-road and on-road settings. The model deployment will build in part on a $25-million study for the US Department of Transportation now underway at UMTRI. (Earlier post.)
DOT to award up to $45M for vehicle-to-infrastructure application projects
May 03, 2013
The US Department of Transportation (DOT) is soliciting (FOA DTFH61-13-RA-00004) applications for cooperative pre-competitive projects designed to enable the successful deployment of vehicle-to-infrastructure (V2I) crash avoidance and driver information applications in passenger vehicles. Projects will last 60 months; estimated total program funding is up to $45 million.
V2I applications are those applications which vehicle-based sensors and vehicle-to-vehicle (V2V) communications are not considered adequate for development of information, alerts, or warnings for drivers. These V2I applications require additional information from the infrastructure to be enabled. These applications, however, are vehicle-based, in that they are programs resident in the on-board equipment of the vehicle.
Toyota to conduct verification tests of traffic alleviation system in Beijing
April 16, 2013
Toyota Motor Corporation (TMC), Toyota Motor Engineering & Manufacturing (China) Co., Ltd. (TMEC), Beihang University and CenNavi Technologies Co., Ltd. have agreed to begin a joint verification testing project in which data from the Toyota-developed NETSTREAM (NETwork Simulator for TRaffic Efficiency And Mobility) traffic-flow simulator will be used in practical car-based applications to help alleviate traffic congestion in Beijing, China.
Toyota Central R&D Labs (CRDL) began developing NETSTREAM some 15 years ago, with the intention of predicting the introductory effects of intelligent transportation systems (ITS) for reducing traffic congestion, pollution reduction, and preliminary evaluation of traffic measures. In the early NETSTREAM I, CRDL used a block density method to calculate a wide-area traffic flow at high speed.
NXP and Cohda Wireless Sign CAR 2 CAR Communication Consortium memorandum of understanding; RoadLINK units
April 04, 2013
NXP Semiconductors N.V. and Cohda Wireless have signed the CAR 2 CAR Communication Consortium Memorandum of Understanding (MoU). (Earlier post.) The memorandum aims at implementing and deploying harmonized technology for the wireless communication between cars, or between cars and traffic infrastructure, in Europe. NXP and Cohda, a leading specialist in wireless communication for automotive safety applications, are the first automotive electronics suppliers to sign the MoU, following twelve major car manufacturers in October 2012.
In addition, NXP and Cohda have announced the introduction of RoadLINK as their new technology brand for marketing a total Car-to-X (C2X) communication and security solution for on-board units and road-side units in Intelligent Transport Systems (ITS). Automotive-ready modules based on RoadLINK are currently being developed by companies including lesswire AG in Germany.
Honda tests congestion minimization technology on public roads in Indonesia, finds >20% improvement in fuel efficiency
March 21, 2013
|The amount of traffic and pattern of changes in average speed with vehicles equipped with the system. Click to enlarge.|
Honda Motor Co., Ltd. conducted public-road testing of its new traffic congestion minimization technology (earlier post) in Indonesia and verified the effectiveness of the technology in delaying the development of congestion and in improving fuel efficiency by more than 20%. The public-road testing was conducted from September 2012 through February 2013 on a toll road between Ulujami and Pondok Ranji in Jakarta.
Traffic congestion is caused by the disorderly flow of the traffic. Therefore, to minimize congestion, the driver of each vehicle needs to adjust driving behavior to the surrounding vehicles. Honda developed a smartphone app which changes the colors of the smartphone display to help the user to check at a glance whether his/her driving is aligned with surrounding vehicles.
Continental and BMW Group working together to develop freeway-grade highly automated driving
February 27, 2013
Continental and the BMW Group are pooling their development capacities to define the long-term prerequisites for series introduction of highly automated driving on European freeways. In January 2013, the two companies signed an agreement to jointly develop an electronic co-pilot for this purpose. The overarching aim of the research partnership is to pave the way to highly automated driving functions beyond the year 2020.
Continental is a leading suppliers of advanced driver assistance systems; the development of products and systems for automated driving is one of the central themes of its long-term technology strategy. (Earlier post.)
Deutsche Telekom and IBM to integrate Machine-to-Machine communication and Smarter Cities data analysis technology for enhanced city services
February 23, 2013
Deutsche Telekom and IBM are collaborating to provide an integrated solutions portfolio that enables cities to make smarter use of their services through intelligent data capture and analysis. The Smarter Cities solutions will build on IBM’s Smarter Cities expertise (earlier post) and “big data” analysis capabilities combined with Deutsche Telekom’s global Machine-to-Machine (M2M) capabilities, which include M2M solutions integration and advanced network connectivity.
M2M communication technology facilitates the automated exchange of information between terminal equipment such as machines, vehicles and containers or with a central control center—i.e., an “Internet of Things.” By using sensors embedded in a wide array of systems serving the public—such as a traffic lights, public transport vehicles or parking spaces—M2M technology can report on the status of the system being monitored via the Internet in real-time.
IBM and NXP report first results of connected vehicle pilot in Dutch city of Eindhoven
February 22, 2013
IBM and NXP Semiconductors N.V. announced the first results of a smarter traffic pilot conducted in the Dutch city of Eindhoven. The trial demonstrated how the connected car automatically shares braking, acceleration and location data that can be analyzed by the central traffic authority to identify and resolve road network issues.
During the trial, IBM, NXP and its partners equipped 200 participating cars with a device containing the NXP telematics chip “ATOP” that gathers relevant data from the central communication system of the car (CAN-bus). Relevant sensor data that were indicators of potholes or icy roads was collected in-vehicle and transmitted to the cloud-enabled IBM Smarter Traffic Center.