Connectivity and Automation as Enablers for Energy-Efficient Driving and Road Traffic Management

Abstract

In the member countries of the Organization for Economic Co-operation and Development (OECD), projections show that the improved energy efficiency in transportation may lead to a net decline of about 2% in energy use until 2040, thus outpacing the predicted increase of vehicle-miles traveled (VMT). However, in OECD-Europe, transportation still represents the biggest source of carbon emissions, contributing by about 25% to the total CO2 emissions, with cars and vans representing more than two thirds of this share. The situation is even more alarming in non-OECD countries, where the transportation energy demand is expected to rise by 64% until 2040. The shift that we are witnessing toward the adoption of connected and automated vehicles (CAVs) is going to be perhaps, the most disruptive since the early days of automobiles and could revolutionize movement of people and goods. This level of connectivity and autonomy will transform transportation in several dimensions with important societal and economic impacts: improved safety, increased comfort, time saving potential, and more efficient road utilization are among the most widely discussed positive impacts of CAVs. However, the potential energy efficiency benefits of these technologies remain uncertain. From a single-vehicle efficiency perspective, research suggests that lightweight, low-speed, autonomous vehicles have the potential to achieve fuel economy an order of magnitude higher than current cars. Yet, at system-wide level, current estimates suggest that the total energy consumption impacts can range from a 90% decrease to a 200% increase in fuel consumption as compared to a projected 2050 baseline energy consumption. The paradigm that traffic congestion mitigation should reduce CO2 emissions is yet to be proved. Therefore, interest in transportation regulation problems with explicit environmental considerations is growing. This work takes a more in-depth look at increased opportunities for energy-efficient driving with energy-oriented traffic management and CAVs deployment. In particular, the focus will be put on the road traffic control strategies in urban networks using connectivity to enable variable speed limits and traffic light adaptive control, as well as the energy-saving opportunities that arise for individual CAVs by anticipating future road geometry, traffic conditions, and interactions with neighboring vehicles.

Optimization of spatial distribution of sports parks based on accessibility analysis

“…The colors of roads reflect the integration level (connectivity): red roads have the highest integration level (connectivity), while dark blue roads have the lowest integration level (connectivity). A high road integration indicates a high connectivity, therefore high utilization efficiency [ 31 ]. In other words, residents prefer a road with high integration level.…”

Designing a Real-Time Implementable Optimal Adaptive Cruise Control for Improving Battery Health and Energy Consumption in EVs through V2V Communication

“…Moreover, this approach aligns with the contemporary automotive trend, emphasizing connected and autonomous vehicle technologies, specifically targeting enhanced energy efficiency and prolonged battery life. In recent years, the potential of connected and autonomous vehicles has grown significantly due to current technologies, enabling vehicle efficiency improvements [15,16] while maintaining high safety standards [17]. Connectivity is pivotal in enhancing vehicles' awareness of their surroundings and robustness in predicting external actions [18].…”