Enhanced Safety Evaluation Methods Using Connected Vehicle and Crash Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Enhanced Safety Evaluation Methods Using Connected Vehicle and Crash Data write by Taehun Lee. This book was released on 2021. Enhanced Safety Evaluation Methods Using Connected Vehicle and Crash Data available in PDF, EPUB and Kindle.
Road Vehicle Automation 5
Road Vehicle Automation 5 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Road Vehicle Automation 5 write by Gereon Meyer. This book was released on 2018-06-25. Road Vehicle Automation 5 available in PDF, EPUB and Kindle. This is the fifth volume of a sub series on Road Vehicle Automation published within the Lecture Notes in Mobility. Like in previous editions, scholars, engineers and analysts from all around the world have contributed chapters covering human factors, ethical, legal, energy and technology aspects related to automated vehicles, as well as transportation infrastructure and public planning. The book is based on the Automated Vehicles Symposium which was hosted by the Transportation Research Board (TRB) and the Association for Unmanned Vehicle Systems International (AUVSI) in San Francisco, California (USA) in July 2017.
Next Generation Safety Performance Monitoring at Signalized Intersections Using Connected Vehicle Technology
Next Generation Safety Performance Monitoring at Signalized Intersections Using Connected Vehicle Technology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Next Generation Safety Performance Monitoring at Signalized Intersections Using Connected Vehicle Technology write by Liteng Zha. This book was released on 2014. Next Generation Safety Performance Monitoring at Signalized Intersections Using Connected Vehicle Technology available in PDF, EPUB and Kindle. Crash-based safety evaluation is often hampered by randomness, lack of timeliness, and rarity of crash occurrences. Surrogate safety data are commonly used as an alternative to crash data; however, its current practice is still resource intensive and prone to human errors. The advent of connected vehicle technology allows vehicles to communicate with each other as well as infrastructure wirelessly. Through this platform, vehicle movements and signal status at the facilities can be automatically and continually monitored in real time. This study explores the viability of long-term safety performance evaluation at signalized intersection using connected vehicle technology. The development focuses on vehicle-to-infrastructure (V2I) communications which require one road-side equipment (RSE) and some level of on-board equipment to be successful. To accomplish the objective, the researchers defined useful safety measures and developed specific algorithms to derive them in real time from the V2I communication data sets. The safety measures were categorized into single-OBE measures and dual-OBE measure based on the number of the equipped vehicle needed to be monitored. We used vehicles trapped in dilemma zone as the single-OBE measure. The dual-OBE measures included rear-end and crossing conflicts. Different simulation scenarios were designed in VISSIM to test the effectiveness of the proposed framework, effect of market penetration rate as well as required observation period for effective implementation. The evaluation results indicated that the application can effectively detect changes in safety performance at full market penetration. It can detect a shift of crash pattern from rear-end crashes to right-angle crashes due to the shorted inter green interval at low traffic volume as well as the mitigation of this pattern during the medium-to-high traffic volume. The selected measures can also identify the increasing risk of rear-end and right-angle crashes after removing advance detectors at the major approaches. Sensitivity analysis from the 60 simulation hours' data showed that more than 40% and 60% penetration rate is likely to be required for a reliable detection in the low volume level and medium-to-high volume level, respectively. Increase of traffic volume activated the corresponding phases more frequently and may result in fewer safety measures being collected. Although losing the power of detection, single-OBE measure was demonstrated to be more reliable at lower penetration rate. Under low OBE market penetrations, observation period can be extended to compensate for small sample size. However, the required observation periods vary with the types of safety indicators being collected and the levels of OBE saturation. The electronic version of this dissertation is accessible from http://hdl.handle.net/1969.1/152565
Real-time Traffic Safety Evaluation in the Context of Connected Vehicles and Mobile Sensing
Real-time Traffic Safety Evaluation in the Context of Connected Vehicles and Mobile Sensing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Real-time Traffic Safety Evaluation in the Context of Connected Vehicles and Mobile Sensing write by Pei Li. This book was released on 2021. Real-time Traffic Safety Evaluation in the Context of Connected Vehicles and Mobile Sensing available in PDF, EPUB and Kindle. Recently, with the development of connected vehicles and mobile sensing technologies, vehicle-based data become much easier to obtain. However, only few studies have investigated the application of this kind of novel data to real-time traffic safety evaluation. This dissertation aims to conduct a series of real-time traffic safety studies by integrating all kinds of available vehicle-based data sources. First, this dissertation developed a deep learning model for identifying vehicle maneuvers using data from smartphone sensors (i.e., accelerometer and gyroscope). The proposed model was robust and suitable for real-time application as it required less processing of smartphone sensor data compared with the existing studies. Besides, a semi-supervised learning algorithm was proposed to make use of the massive unlabeled sensor data. The proposed algorithm could alleviate the cost of data preparation and improve model transferability. Second, trajectory data from 300 buses were used to develop a real-time crash likelihood prediction model for urban arterials. Results from extensive experiments illustrated the feasibility of using novel vehicle trajectory data to predict real-time crash likelihood. Moreover, to improve the model’s performance, data fusion techniques were proposed to integrated trajectory data from various vehicle types. The proposed data fusion techniques significantly improved the accuracy of crash likelihood prediction in terms of sensitivity and false alarm rate. Third, to improve pedestrian and bicycle safety, different vehicle-based surrogate safety measures, such as hard acceleration, hard deceleration, and long stop, were proposed for evaluating pedestrian and bicycle safety using vehicle trajectory data. In summary, the results from this dissertation can be further applied to real-time safety applications (e.g., real-time crash likelihood prediction and visualization system) in the context of proactive traffic management.
Vehicle Compatibility in Automotive Crashes
Vehicle Compatibility in Automotive Crashes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Vehicle Compatibility in Automotive Crashes write by Stanley H Backaitis. This book was released on 2005-03-29. Vehicle Compatibility in Automotive Crashes available in PDF, EPUB and Kindle. For years, reducing the number of traffic-related fatalities and injuries has been a major problem throughout the world. Today, it has gained much more momentum in view of rapidly increasing SUV, van, and light-truck populations relative to the number of passenger cars, and due to significant improvements in technologies that facilitate a better understanding of the interaction dynamics among widely differing size vehicles. Unless disparities in crashworthiness among vehicles of different masses, sizes, and structural characteristics in mixed crash environments are successfully taken into account, the challenge toward improved vehicle safety will continue. This two-part compendium provides the most comprehensive information available on the entire spectrum of vehicle crash compatibility. The first part presents oral comments captured from the 2003 SAE World Congress panel discussion on compatibility. The panel of leading experts representing industry, academia, and government provides a rough framework and a broad range of views on current and emerging developments in compatibility research. The second part of this compendium features 44 best technical papers from SAE International and the International Technical Conference on the Enhanced Safety of Vehicles, published from the early 1970s through 2004. Readers will get a feel for the direction passenger car and heavy-vehicle manufacturers, research institutions, infrastructure suppliers, insurers, and governments are taking to reduce the number of traffic fatalities and injuries.
