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2015-04-23
Event
This session presents papers by leading experts in the field of Intelligent Vehicle Technologies, such as: vehicle communications and networks, driver drowsiness and driving pattern detection, sensors and GPS, vehicle and chassis control and autonomous vehicles, route prediction, head-up displays and power transmission for electric vehicles.
2015-04-23
Event
Intelligent Transportation Systems (ITS) includes smart vehicles, smart roads and infrastructure, and wired and wireless communications to link them together. This session will provide insights and progress reports on the latest ITS research, development, and deployment around the world. Time to collision estimations, embedded processor control, adaptive cruise control and image recognition along with discussion on the management of safety and safety systems.
2015-04-14
Technical Paper
2015-01-0299
Saurav Talukdar
Control of vehicular platoons has been a problem of interest in the controls domain for the past 40 years. This problem gained a lot of popularity when the California PATH program was operational. String stability is an important design criterion in this problem and it has been shown that lead vehicle information is essential to achieve it. This work builds upon the existing framework and presents a controller form for each follower in the string where the lead vehicle information is used explicitly to analytically demonstrate string stability. The discussion is focused on using information from immediate neighbors to achieve string stability. Recent developments in distributed control are an attractive framework for control design where each agent has access to states of the neighbors and not all agents in the network. In this work, the aim is to design sparse H2 controllers and then perform a check on string stability.
2015-04-14
Technical Paper
2015-01-0296
Roman Schmied, Harald Waschl, Luigi del Re
Adaptive cruise control (ACC) systems allow a safe and reliable driving by adapting the velocity of the vehicle to velocity setpoints and the distance from preceding vehicles. This substantially reduces the effort of the driver especially in heavy traffic conditions. However, standard ACC systems do not necessarily take in account comfort and fuel efficiency. Recently some work has been done of the latter aspect. This paper extends previous works for CI engines by incorporating a prediction model of the surrounding traffic and a simplified control law capable for real time use in experiments. The prediction model itself uses sinusoidal functions as the traffic measurements often show periodic behavior and is adapted in every sample instant with respect to the predecessor’s velocity. Furthermore, the controlled vehicle is forced to stay within a specific inter-vehicle distance corridor to avoid collisions and ensure safe driving.
2015-04-14
Technical Paper
2015-01-0287
Javier Adolfo Alcazar, David Weber
A method to merge onto highways using V2V communications is proposed. Vehicles equipped with GPS and DSRC are capable of broadcasting vehicle’s GPS data to neighboring vehicles. The vehicle entering the highway shares traffic information, via DSRC, with other vehicles traveling in the highway; such information allows speed adaptation to merge into the traffic flow. Vehicles equipped with GPS and DSRC can provide smoother traffic flow and fewer collisions.
2015-04-14
Technical Paper
2015-01-0291
Radovan Miucic, Samer Rajab, Sue Bai, James Sayer, Dillon Funkhouser
Many Intelligent Transportation System (ITS) technologies have been developed to improve the safety and efficiency of cars, trucks, public transport and infrastructure. However, very few ITS have been developed specifically for motorcycle user protection. In this paper an overview of vehicle-to-motorcycle wireless communication systems research status in US, EU and Japan is provided. The system enables vehicles and motorcycles to exchange safety information such as speed, heading, location, brake status through 5.9 GHz Dedicated Short Range Communication (DSRC) protocol. The vehicles and motorcycles can then assess the potential threat level based on the incoming messages from the nearby traffic. Several high-impact motorcycle-to-vehicle collision scenarios are analyzed.
2015-04-14
Technical Paper
2015-01-0282
Emrah Adamey, Guchan Ozbilgin, Umit Ozguner
In this paper, collaborative vehicle-tracking problem is studied for mixed-traffic environments where vehicles with differing sensing and communication capabilities coexist. The participating vehicles are classified according to their capabilities, as: (1) fully-equipped, (2) v2v-equipped, and (3) non-equipped vehicles. Fully-equipped vehicles have both onboard sensing and v2v communication capabilities; v2v-equipped vehicles have v2v communication capabilities alone; and non-equipped vehicles do not have communication capabilities. The task is to provide accurate and reliable vehicle tracking results to each participating vehicle, which can be done most effectively through wireless collaboration of fully-equipped vehicles with v2v-equipped vehicles. One particular issue that rises is the integration of the state estimates of non-equipped vehicles into the inter-vehicular communication network. Another important issue is the packet losses and delays.
2015-04-14
Technical Paper
2015-01-0294
Takamasa Koshizen, MAS Kamal, Hiroyuki Koike
In order to mitigate traffic congestion, in this paper, we propose an effective approach of smoothing traffic flows by introducing smart cars. It is relied on the smartphone-based technology of detecting traffic congestion, initially developed by Honda Motor Co. Ltd throughout 2011-2013. The detection technology is basically aimed to correct erratic driving behaviors such as aggressive acceleration or rapid braking, and is referred as "smooth driving". Generally, it is known that traffic congestion will likely occur when volume of traffic generates demand for a space greater than the available road capacity. Nevertheless, driving patterns relative to reaction time, sensitivity and time headway, can also be crucial for traffic stability and congestion mitigation. So far, our driving strategy combined with the congestion detection has considered achieving the driving smoothness for "single" lane in particular.
2015-04-14
Journal Article
2015-01-0297
Jianbo Lu, Dimitar Filev, Finn Tseng
This paper studies the problem of characterizing the driving behavior during steady-state and transient car-following. An approach utilizing the online learning of an evolving Takagi-Sugeno fuzzy model that is combined with a Markov model is used to characterize the multi-model and evolving nature of the driving behavior. Such an approach is targeted for real-time implementation instead of the traditional off-line approach to driver characterization. The approach is validated by testing on a test vehicle during different driving conditions.
2015-04-14
Journal Article
2015-01-0295
Dominik Moser, Harald Waschl, Roman Schmied, Hajrudin Efendic, Luigi del Re
Modern cars feature a variety of different driving assistance systems, which aim to improve driving comfort as well as fuel consumption. Due to the technical progress and the possibility to consider vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, cooperative adaptive cruise control (CACC) strategies have received strong interest both from research and industrial communities. The performance of such systems can be enhanced if the future development of the surrounding traffic can be predicted. This paper presents a stochastic model of the future velocity of a preceding car based on the incorporation of available information sources such as V2X and radar information. Generally, human driving behavior is a complex process and influenced by several environmental impacts. The main influences on the velocity prediction considered in this work are current and previous velocity measurements and traffic light signals.
2015-04-14
Journal Article
2015-01-0469
Ning Wang, Yafei Liu
The Chinese government initiated the “Ten Cities, Thousand Vehicles” program for electric vehicles from the year of 2009 to 2012. The demonstration results indicate that an integral supporting system is required in the promotion of electric vehicles, including the government policies, charging infrastructure, after-sales service, business models and consumer awareness. Through the analysis of related literature and summary reports from 25 demonstration cities, a partial least squares (PLS) path model with 5 major factors and 13 observation indicators was developed to assess the city readiness of electric vehicle supporting system. The 5 factors consist of government policies and investment, charging infrastructure construction and operation, business models and maintenance service system, consumer awareness training, operation scale and environmental benefits. Then based on the PLS results 25 cities are divided into 6 groups with the clustering analysis model.
2015-04-10
Book
This is the electronic format of the Journal.
2015-03-10
Technical Paper
2015-01-0031
Jung-Ok (Jo) Kuys, Gavin Melles, Scott Thompson-Whiteside, Ajay Kapoor
Abstract The Malaysia National Automotive Policy (NAP 2014) focuses on the systemic changes needed for the country to develop a competitive and sustainable automotive manufacturing sector. Alternative electric vehicles (EV) -including the public transport sector, in particular buses - forms part of this strategy. This also features in the Transport Scenarios for the Kuala Lumpur Structure Plan for 2020. Kuala Lumpur's population is expected to reach 10 million by 2020, the current public transport system is beset by problems, e.g. route congestion, a growing trend of private car ownership among a rising middle-class, and a range of environmental and infrastructure issues which must be challenged. A human-centred design approach to public transport focuses on developing (future) scenarios to accommodate the 2020 economic, environmental and social considerations building on Design for Sustainability (DfS), user needs, behaviour change and inclusivity principles.
2015-03-10
Technical Paper
2015-01-0050
Shane Richardson, John McIver
Mining operations which utilise Haul Trucks to move product or overburden have to also build and maintain a network of roads which the Haul Truck can operate on. As the development of the mine progress typically the road network changes and the maintenance of a mining road can influence the productivity of the mine and specifically the Haul Truck fuel consumption on the mine. The current class of Ultra class Haul Trucks can have a Gross mass from 450 tonnes to 590 tonnes with 60 litre to 90 litre engines developing 1,830W to 2,800kW. By managing the roughness of the mining road network the rolling resistance of the Haul Trucks can be controlled/managed within a defined band and hence the mine can control part of the Haul Truck fuel consumption. Conversely constantly maintaining mine roads affects the productivity of the mine. Typically the decision conduct maintenance work on a Haul Road is made subjectively, based on the feel of how rough the roads are getting.
2015-02-27
Article
The new Class 8 on-highway truck for North America combines proven Daimler Truck aerodynamic technology with what the truck maker claims is the most fuel-efficient powertrain available, a downsped Detroit DD15 engine and standard DT12 fully automated manual transmission with Intelligent Powertrain Management.
2015-02-24
Video
Learn more about how Boeing innovates at http://www.buildsomethingbetter.com. There are more than 30,000 flights a day in the U.S alone -- all controlled by an air traffic management system conceived in the 1950s. In this video, see how "tailored arrivals" will save fuel, reduce noise and improve on-time performance.
2015-02-20
Article
The 2015 Chicago Auto Show concept re-interprets the Soul as an electric all-wheel-drive compact crossover.
2015-02-12
Article
Engines and transmissions create heat, and that challenges engineers to manage it so the parts inside don't fail. In this episode of SAE Eye on Engineering, Senior Editor Lindsay Brooke looks at Acura's 2016 NSX and its cooling system. 
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