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Connected and automated driving technology is known to improve real-world vehicle efficiency by considering information about the vehicle’s environment such as traffic conditions, traffic lights or road grade. This study shows how the powertrain of a hybrid-electric vehicle realizes those efficiency benefits by developing methods to directly measure real-time transient power losses of the vehicle’s powertrain components through chassis-dynamometer testing. This study is a follow-on to SAE Technical Paper 2019-01-0116, Test Methodology to Quantify and Analyze Energy Consumption of Connected and Automated Vehicles [1], to understand the sources of efficiency gains resulting from connected and automated vehicle driving. A 2017 Toyota Prius Prime was instrumented to collect power measurements throughout its powertrain and driven over a specific driving schedule on a chassis dynamometer.

During the past couple of years, a committee under the auspices of the ASME Codes and Standards division has been formed and are meeting regularly. The purpose of the committee is to develop and publish a set of documents that describe a common process for verification and validation of computational solid mechanics models. There are many issues under discussion and many concepts under debate. In this paper we will present some the major concepts and the differing viewpoints focusing on the concept of validation and relate this to the automotive industry in particular.

The State of Florida initiated the SunGuide® Advanced Traffic Management System (ATMS) software development program in October 2003; that software is deployed in over 15 Traffic Management Centers (TMCs) throughout the major cities in Florida. One of SunGuide's biggest strengths is a software architecture that allows for short development times for new functionality. This paper describes the system design, implementation, and lessons learned from the development of the SunGuide Connected Vehicle Subsystem (CVS). The SunGuide CVS receives real-time speed, location, and heading data from instrumented vehicles and uses that data in a manner similar to its use of traffic detector data to provide information to the TMC. In addition to the vehicle providing data to the TMC, the TMC may create and publish Traveler Advisory Messages to the vehicle as part of the SunGuide Event Management response plans.

Several techniques have been developed to measure the relative amount of splash and spray produced by vehicles when driven on wet roads at highway speeds under controlled conditions. This paper discusses considerations in the development of measurement techniques such as those utilizing photographs, a photometer, densitometer, spraymeter, and spray collector. The development of each technique is described. Some test data utilizing the photometer and densitometer techniques are presented in a comparison of two different trucks run on two different road surfaces with new and worn tires, fully loaded and unloaded, and under light and heavy road moisture conditions.

Since the turn of the millennium, automated vehicle technology has matured at an exponential rate, evolving from research largely funded and motivated by military and agricultural needs to a near-production market focused on everyday driving on public roads. Research and development has been conducted by a variety of entities ranging from universities to automotive manufacturers to technology firms demonstrating capabilities in both highway and urban environments. While this technology continues to show promise, corner cases, or situations outside the average driving environment, have emerged highlighting scenarios that impede the realization of full automation anywhere, anytime. This paper will review several of these corner cases and research deficiencies that need to be addressed for automated driving systems to be broadly deployed and trusted.