Would it be possible NOT to have a massive picture? 2848 Ã- 4026 is a bit big for some.
Anyhow, it's just another step forward towards fully automated cars.
Anyhow, it's just another step forward towards fully automated cars.
A unique collaboration The Sentience research vehicle was unveiled today to an invited media audience at TRL (Transport Research Laboratory), who were provided the opportunity of driving the vehicle on the TRL test track in conditions representative of public roads. The event marked the conclusion of the 15 month Sentience research collaboration between Ricardo, Jaguar-Land Rover, TRL, Ordnance Survey and Orange Business Services, with part-funding provided by innovITS, the UK centre of excellence for intelligent transport systems and sustainable mobility. The project has been based on extending the electronic horizon of the vehicle using internet-enabled mobile communications, GPS, advanced mapping and other sophisticated real-time navigational technologies, aimed at reducing the exhaust emissions and CO2 output of future vehicles in a cost-effective manner. "Sentience has been a unique collaboration between three industries who would not normally work together", explains Sentience project director, Tom Robinson, of Ricardo. "The results speak for themselves in demonstrating the potential synergy to be realised by connecting the existing on-board systems of vehicles with mobile communications and advanced mapping technologies." Three particular areas of focus for Sentience have been on Enhanced Acceleration/Deceleration (EAD) in which the vehicle speed is controlled to meet actual and virtual speed limits; Optimized Engine Load (OEL) in which the hybrid powertrain systems are managed using advanced route knowledge in such a way as to make optimal use of recharging opportunities; and Enhanced Air-Conditioning (EAC) control in which temperature set-points are adjusted prior to and following temporary stops. Much of the work of the project team has concentrated on the first of these strategies as Robinson explains: "We wanted to demonstrate the potential benefits of implementing EAD as we felt this held the prospect of the most substantial fuel savings and hence CO2 reductions. With fuel savings demonstrated on the test track of up to 24 per cent and at least 5 per cent in evening based on-road tests, this was a sensible primary focus for our work, but there remains further clear potential in the implementation of OEL and EAC strategies, as well as in the integration with navigation technologies such as intelligent route guidance." EAD: An advanced form of adaptive cruise control EAD is implemented on the Sentience demonstrator vehicle through an advanced form of adaptive cruise control linked to the hybrid powertrain system of the vehicle. Based on route information - which could in a production setting be integrated with a commercial navigation system - the Sentience vehicle will calculate and follow an optimal driving strategy. Its control system adjusts vehicle speed, acceleration and deceleration via its adaptive cruise control. Using GPS and mapping data it takes into account the speed limits, traffic conditions, the road's gradient and features including bends and even speed bumps, as well as less predictable road features including roundabouts and traffic lights. At any time, of course, the system can be manually over-ridden by the driver. Moreover, the data provided by the mapping and navigational systems is also used to optimize the recharging strategy of the hybrid's batteries, thus increasing the potential availability of electric-only mode in urban environments. Although not implemented on the project vehicle, the EAD implementation has the necessary in-built links to work with real-time traffic information in order to update its strategy according to prevailing conditions and areas of congestion. In track based tests, the EAD strategy alone has demonstrated fuel savings of between 5 and 24 per cent depending upon traffic conditions and route topology. In evening tests on public roads in 'real-world' conditions in the vicinity of TRL, achieved mean savings at all times in excess of 5 per cent. |