Optimal Controls of Vehicle Trajectories in Fleet Management Using V2I Information

Abstract

Given the raised focus on transport energy and traffic-induced environmental issues, the ability of reducing vehicular environmental impacts is of great importance for intelligent traffic management. The recent development in vehicleto-infrastructure (V2I) communication provides an effective means for continuous management of vehicle driving. This study presents an essential step of the work towards a dynamic fleet management system that takes advantages of real-time traffic information and communication. Based on the optimal control theory, a methodological approach is developed to control the environmental impacts of live vehicle fleets. In particular, vehicle trajectories that minimize local environmental objectives are derived by applying a discrete dynamic programming method. Numerical examples show that the method is promising for local V2I based traffic management applications and can be further extended for more complex optimal control problems in dynamic fleet management.

Reinventing Mobility Paradigms: Flying Car Scenarios and Challenges for Urban Mobility

“…Safe interactions between automated/autonomous vehicles require suitable communications between the various entities involved, the main purpose of which is to prevent dangerous situations, using appropriate communication protocols and standards, designed to support vehicle transmissions in different application scenarios. In this context, communications are commonly classified in: (i) vehicle-to-vehicle (V2V), consisting in wireless communication between neighboring vehicles [37,38] to realize 3D separations among vehicles and obstacles [39] also avoiding the effects of wake turbulence, which implies lift variations [40,41]; (ii) vehicle-to-infrastructure (V2I), linking vehicles to infrastructures-including ground obstacles such as buildings and electric cables, traffic lights and roundabout [42][43][44]; (iii) vehicle-to-everything (V2X), which includes V2V and V2I and also communication between vehicle and pedestrian (V2P), roadside (V2R) and device (V2D) [45,46] in order to create safe environments.…”

Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication

“…Accordingly, the upstream vehicles can implement suitable countermeasures in advance to any varieties of the downstream traffic flow conditions. Some typical applications include achieving safer and smoother traffic flow (Milanes et al, 2012) and transport energy/emission reductions (Ma and Martensson, 2012).…”