Abstract
Intelligent Transportation Systems (ITS), such as Green Light Optimal Speed Advisory (GLOSA) systems, can be used to reduce the energy consumption in modern vehicles. In particular, GLOSA systems provide driving strategies that can decrease both energy consumption and travel time. In this paper, we present a new method to calculate the optimal driving speeds based on traffic light data. To this end, a detailed formulation for the optimization problem is presented for a multi-segment route, based on an electric vehicle (EV) and traffic light models in an urban environment. Since this formulation results in a nonconvex optimization problem, a relaxation procedure is applied with a low calculation time. By using this procedure, a dynamic real-time speed advisory algorithm is developed. Numerical simulations showed improved performance over benchmark techniques. In particular, the proposed Dynamic-GLOSA solution’s performance was shown to be very close to that with a brute-force optimal solution but with a much shorter calculation time and has significant potential for energy saving.
Highlights
The global energy crisis and the growing dependency on oil lead to serious environmental consequences that threaten price stability and global economic growth [1]
The performance of the proposed Dynamic-Green Light Optimal Speed Advisory (GLOSA) algorithm is evaluated for different methods and driving patterns
We investigate the optimization problem of the GLOSA system and propose a real-time solution
Summary
The global energy crisis and the growing dependency on oil lead to serious environmental consequences that threaten price stability and global economic growth [1]. Intelligent Transportation Systems (ITS) exploit advances in infrastructure-to-vehicle communication (I2V) to optimize transportation efficiency. A proper driving strategy has great potential for reducing fuel and energy consumption [5], emission [6], and trip time [7]. ITS solutions include adaptive signal control [8,9], optimal route planning [10,11], and driving strategy advisory systems. Signal control and route planning seek to minimize idling and travel time cost functions. Driving strategy advisory systems provide velocity or acceleration recommendations that take travel time and energy consumption into account. Green Light Optimal Speed Advisory (GLOSA) systems enable significant savings in fuel consumption and idling time by using road data and traffic light schedules
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