Criteria

Text:
Display:

Results

Viewing 1 to 30 of 3355
2015-04-21
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.
2015-04-21
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
2015-01-1465
Sho Nikaido, Shota Wada, Yasuhiro Matsui, Shoko Oikawa, Toshiya Hirose
1. Background and purpose There are various contributing factors to accidents of bicycles, it is considered that cyclists often do not observe the traffic regulation that requires cyclists to stop before a stop line at an intersection. As a countermeasure to this type of accident, cycling assist systems that activate a warning system for cyclists have been researched and developed. This assist system warns the cyclist about the danger of a collision. Such an assist system needs to provide a warning with appropriate timing. It is necessary to clarify cycling characteristics in developing a countermeasure for traffic accidents at an intersection without signals. The findings of this study can be used for the future construction of an assist system that will encourage cyclists to observe traffic regulations.
2015-04-14
Technical Paper
2015-01-0201
Robert Wragge-Morley, Guido Herrmann, Phil Barber, Stuart Burgess PhD
We present a method for the estimation of vehicle mass and road gradient for a light passenger vehicle . The estimation method uses information normally available on the vehicle CAN bus without the addition of extra sensors. A nonlinear adaptive observer structure with a finite and exponential time converging regressor uses vehicle speed over ground and driving torque to estimate mass and road gradient. A novel system of filters is used to avoid deriving acceleration directly from wheel speed. In addition, a novel data fusion method makes use of the regressor structure to introduce information from other sensors in the vehicle. The dynamics of the additional sensors must be able to be parameterised using the same parameterisation as the complete vehicle system dynamics. In this case we make use of an inertial measurement unit (IMU) which is part of the vehicle safety and ADAS systems.
2015-04-14
Technical Paper
2015-01-0281
Yang Zheng, Amardeep Sathyanarayana, John Hansen
In order to address vehicular and occupant safety, it is beneficial to understand how drivers drive as well as identify any variations in their driving performance. In-vehicle signal processing plays an increasingly important role in driving behavior and traffic modeling. A driver’s control actions directly impact the vehicle dynamic performance. Meanwhile, in-vehicle signals such as the steering wheel angle, vehicle speed and other signals from multiple sensors typically included in the CAN-Bus can be used to reflect the driver’s intention. Maneuvers, influenced by the driver’s choice and traffic/road conditions, are important in understanding variations in driving performance and to help rebuild the intended route. With access to continuous real-time in-vehicles signals, a suitable framing strategy should be adopted for maneuver recognition. One classical approach is to use fixed time frames to partition incoming data for time series analysis of maneuvers.
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
2015-01-0283
Allan Lewis, Mohammad Naserian
A method of locating a charging target device (vehicle) in a parking lot scenario by the evaluation of Received Signal Strength Indication (RSSI) of the Dedicated Short Range Communications (DSRC) signal and Global Positioning System (GPS) data is proposed in this paper. As a result of this method, a vehicle will achieve expedited charger to system pairing while in the company of multiple chargers.
2015-04-14
Technical Paper
2015-01-0284
Li Gang, Zhou Zhicheng
In recent years, the study on driver characteristics is becoming hotter and hotter in intelligent vehicle field. The study on driver steering characteristics is one of them. This paper points at the classification of driver steering characteristics and identification of driver type based on the driving simulator experiments. Choose forty drivers to participate in experiments which were designed on driving simulator. The experimental data were acquired by dSPACE acquisition system. The maximum of yaw rate, the maximum of wheel steering angle, the maximum of wheel steering angle rate and vehicle longitude speed under maximum of wheel steering were received to create sample matrix. Fuzzy C-means algorithm was applied to construct clusters from the sample matrix and correlation analysis was used to figure out the criteria of classification. The forty drivers were classified according to the criteria of classification.
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
2015-01-0294
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
Technical Paper
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
Technical Paper
2015-01-0298
Wontaek Lim, Junsoo Kim, Chulhoon Jang, Yongwoo Jo, Myoungho Sunwoo
Autonomous vehicle technology has developed to meet the demands of drivers for improving driving safety and convenience. In particular, the study of parking for the autonomous driving has received significant attention from automotive researchers because many drivers have trouble estimating a parking path in a complex area. This difficulty is due to the characteristic of non-holonomic constraints and the restricted free-space of parking lots. Many reports have been published on the topic of geometric methods that use circles and straight lines as well as fuzzy logic based path planners for parking. These methods generate feasible paths from a starting position to a desired parking position and consider maximum steering angle, Ackermann steering geometry, and vehicle speed. However, it is difficult to generate repeated backward-forward paths for a narrow parking lot since the paths are made in a wide parking space.
2015-04-14
Technical Paper
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
Technical Paper
2015-01-0289
Yuan Chen, Bhavin Chamadiya, Ulrich Bueker
Progressed efforts have been made on the development of Vehicle to Vehicle communication technology. The European Telecommunications Standard Institute has allocated a dedicated frequency band of 5.855 – 5.925 GHz to vehicular communication. Numerous on road measurement campaigns have been conducted by joint consortium to evaluate the performance of V2V communication around the world. However due to the scalability limitation of on road measurement, light-weight simulation tools are more widely implemented to gain general insights into V2V communication. Hence, the needs of simulation regarding evaluation on the performance of this technology have been aroused. In order to ensure the reliability of the simulation, propagation model on V2V communication should be accurate to have realistic results. In this paper, we conducted a survey of the available propagation models in urban, suburban and highway area.
2015-04-14
Technical Paper
2015-01-0371
Rupesh Sonu Kakade, Prashant Mer
Human thermal comfort is a principal objective of the climate control systems such as the automotive air conditioning system. Applying the results of research studies on human thermal comfort to the practical problems require quantitative information of the thermal environmental parameters, such as the impinging solar radiation. Photovoltaic-cell based sensor is commonly used in automotive climate control systems for the measurement of impinging solar radiation intensity. The erroneous information from sensor can cause thermal discomfort. Such an erroneous measurement can be due to physical or environmental parameters. Shading of a solar sensor due to opaque body elements of vehicle is one such environmental parameter that is known to give incorrect measurement. Fundamental geometric principles can be used to determine if sensor is shaded, for a given position of the sun with respect to vehicle and for a given geometry of the vehicle passenger compartment.
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
2015-01-0291
Radovan Miucic, Sue Bai
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.
2015-04-10
Book
This is the electronic format of the Journal.
2015-03-10
Technical Paper
2015-01-0050
Shane Richardson
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.
2015-01-23
Article
Demonstrated at the 2015 North American International Auto Show in Detroit, the new infotainment solution has more-responsive capacitive touch screen, upgraded voice recognition, and new apps.
Viewing 1 to 30 of 3355

Filter

  • Range:
    to:
  • Year: