Vehicle energy savings by optimizing road speed-sectioning

Abstract

In a context of decreasing resources and of climate change, lowering road vehicles consumption is a key point to meet CO 2 reduction requirements. In addition to car technological advances, eco-driving is part of the solution but the road infrastructure should ensure its development. This work aims to demonstrate that road energy demand and associated pollutant emissions can be reduced by working out minor optimization of road infrastructure itself. For this to happen, a simple eco-driving potential criterion is built upon infrastructure parameters such as slopes and sight distances. This criterion aims to detect Misplaced Speed-sectioning Positions (MSP) with regard to the Starting Point of Deceleration (SPD); with speed-sectioning being the succession of speed changes along a given route. An enhanced energy waste formulation is then developed to quantify the vehicles energy waste due to misplaced roadsigns. Thirdly, a traffic simulation constitutes a framework for energy evaluation; considering a full flow of vehicles, based on real traffic data, and by modeling several driver behaviors. Simulation results show that a significant fuel reduction of up to 5.5% can be achieved locally, simply by moving a road sign, for rural areas and without degrading road safety.

Evaluating the Impact of Drone Signaling in Crosswalk Scenario

“…Regarding the fuel consumption model, Loulizi, Rakha, and Bichiou (2017) [42] showed that it depends on the grade and on the instantaneous power, as a function of the driver acceleration and resistance forces on the vehicle. Authors in Reference [43] recently proved that the optimization of the road infrastructure is also a part of the solution to reduce road vehicles consumption, and they developed a road speed sectioning technique for this purpose.…”

“…The reference profiles are designed for energy minimization purposes and are similar to those presented in Reference [43] (road speed sectioning). The reference speed varies linearly with respect to the distance (constant speed grade δv, see Equation ( 14)), and the acceleration is then a negative constant (it is a deceleration before the driver starts to brake; see Equation ( 15…”

Optimizing Urban Mobility: Innovative Sloped Road Design for Fuel Efficiency and Safety

“…Traditional road designs often contribute to increased fuel consumption due to factors such as congestion, inadequate traffic management, and inefficient geometric configurations. Addressing these challenges through sustainable road design not only optimizes fuel efficiency but also reduces emissions, contributing to improved air quality and a lower carbon footprint [6]- [8].…”

Spatiotemporal lightmorphic computing for Carpathian roads

“…Various degrees of freedom(DoF) for the light virtual shapes are considered. The energy demand can be anticipated not only from the driver's perspective [3] but also from how the vehicle will react to its environment. Additionally by adding the trajectory specific light signature as a predictive feature of the energy management control system, it is possible to anticipate in real-time the trajectory specific energy savings potential.…”