Search Results

A unique system would solve traffic, fossil-fuel depletion, and environmental problems. Dual-mode private and commercial vehicles would be manually driven on streets and automatically controlled on maglev guideways. Busses and freight vehicles without wheels or drivers also used. Proposed guideway speeds: 100kph in cities, and 325kph between cities. System would be safer and have much higher capacity than existing highways or proposed “smart car” systems. One-third meter clearance between cars to be achieved by linear synchronous-motor propulsion. Capacity of single 100kph guideway to equal that of twelve highway lanes, and one 325kph guideway would be equivalent to forty highway lanes.

A computer controlled steering system providing an artificial feel or synthetic torque feedback to the driver has recently been launched into production in the commercial vehicle market. ...This work compares the artificial feel control strategy with prior electric power steering control strategies and hydraulic power steering.

The consequent means towards improved enhancement of the safety of commercial vehicles will in future times require more and more electronic intelligence, in case a distinct optimization of the systems will not be possible with conventional means.

A backpropagation through time algorithm was used to model and predict the rollover of a tank truck carrying varying liquid volumes, traveling at various speeds, and performing a number of steering maneuvers of up to 12 seconds duration. The training and testing data sets were built with data produced by simulations using first principle models. Because neural networks have trouble predicting behaviors beyond the boundaries of their training sets, the training set was weighted with 5 per cent of the input examples involving vehicle rollover due to sloshing. The network outputs under test data sets produced very strong correlations with first principle roll simulations in both rollover and non-extreme steering maneuvers.

In order to comply with the increasing demands on active safety, the commercial vehicle manufacturers have intensified the development work in the field of braking systems. The safety-relevant subsystems are “anti-lock system”, “retarder” and “engine braking system”. These systems were subject of a continuous optimization during the last years. Describing the influence of these subsystems on the steering and braking performance of commercial vehicles, it can be shown that this optimization was able to significantly increase the active safety of commercial vehicles. But it is also evident that the realized improved braking ability now demands an intelligent electronic control system which integrates the subsystems in a way that both stopping distance and vehicle stability during braking are optimized. This full-electronic braking system will lead to a further increase in safety and economy of commercial vehicles.

On the other hand, artificial neural networks (ANN) were trained and tested using experimental data to estimate contact forces.

As an AV operates in environments consisting of various entities, such as other AVs, human-driven vehicles, and static obstacles, developing situational intelligence will require a collaborative approach. The recent developments in artificial intelligence (AI) and deep learning (DL) relating to AVs have shown that DL-based models can take advantage of information sharing and collaboration to develop such intelligence. ...Out of several functions performed by an AV, one of the most important is developing situational intelligence to predict collision-free future trajectories. As an AV operates in environments consisting of various entities, such as other AVs, human-driven vehicles, and static obstacles, developing situational intelligence will require a collaborative approach. ...The recent developments in artificial intelligence (AI) and deep learning (DL) relating to AVs have shown that DL-based models can take advantage of information sharing and collaboration to develop such intelligence. However, most of these developments address only the requirements of urban environments, which are structured, and ignore the more challenging requirements of off-road environments, which are unstructured due to the lack of lane markings, traffic rules, and traffic signs.

To facilitate design and analysis of these machines, an Al (artificial intelligence) and symbolic manipulation based software package is being developed in MATHEMATICA and used at JI CASE.

It may be further developed by automating drone flight patterns and also by introducing artificial intelligence.

Automotive industry is going through a major transformation with use of artificial intelligence and machine learning and especially in the area of transmission system design and development where lot of data is available from physical testing.

Adding digital intelligence, connectivity to actuators Thomson believes truck and off-highway vehicles will increasingly integrate 'smart' actuators to enhance communication, control and performance. ...Smart and getting smarter Machine intelligence expert at Volvo CE sees AI enabling additional operator-assist functions on the path to full automation.

The increase of active safety will demand more and more electronic intelligence, if a drastic optimization of conventional systems is not possible any more. Starting from today's mechatronic systems, the trend leads via tomorrow's smart electronic systems to the future electronic networking of all intelligent vehicle systems. ...The paper describes the present status of these systems in Europe and the possibilities of increasing the active safety by using electronic intelligence.

Increasing connectivity, leveraging intelligence Parker Hannifin expert discusses IoT for mobile equipment and moving beyond standard telematics by integrating systems controllers and smart components.

The SwRI-led Advanced Combustion Catalyst and Aftertreatment Technologies consortium reinvents existing technologies and experiments with new catalysts to meet standards. More intelligence equals more efficiency, enhanced functionality Advanced systems require renewed focus on architectures, processors, sensors and networks.

Moreover, the possibilities of electronic intelligence will lead to an outstanding increase of active safety and transport efficiency of future vehicle generations [1].

The development of electronic intelligence and the continually increasing intensive knowledge of driving dynamics make it possible nowadays to conceive intelligent vehicle systems and to make such systems available for series production, which are capable of substantially enhancing the active safety of commercial vehicles.

Today with a two-way communication capability, programmability and intelligence it has graduated to a full fledged Close-Range Road/Vehicle Communication System (CRCS).

The specificity of our approach is based on the intelligence of the coupling between the end-effector and the associated positioner offering very well adapted answers for guaranteeing low cycle times and technical performances independently of parts geometrical diversity and used materials.

For example, coastdown testing is often used to determine aerodynamic drag (either in isolation or as part of the total resistance), and artificial gust generators are used to investigate the sensitivity of vehicles to cross-wind gusts.

During the war, every available unit of man-power was called into use, and all specialized intelligence was stretched almost to the breaking point. This was particularly true of the intelligence in the automotive industry.