Intersection ecological driving optimization method based on queue length prediction
A technology of queue length and optimization method, which is applied in the traffic control system of road vehicles, traffic control systems, instruments, etc., and can solve problems such as suboptimal solution of speed trajectory
Active Publication Date: 2021-09-14
HANGZHOU DIANZI UNIV
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However, few studies have considered the impact of vehicle queue length on ecological driving along arterial roads, which may lead to suboptimal solutions for velocity trajectories
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[0062] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.
[0063] The invention proposes an optimization method for ecological driving at intersections based on queue length prediction. The invention comprises the following steps:
[0064] Step 1, first refer to figure 1 Schematic diagram of traffic shock wave propagation for intersection queuing length prediction, when queuing shock wave with dissipating shock waves When encountering, the cycle reaches the maximum queue length, and then the queue length is driven away from...
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The invention discloses an intersection ecological driving optimization method based on queue length prediction. Firstly, traffic flow and signal lamp phase information is obtained through the vehicle-road communication technology, and the queue length is predicted based on a motion shock wave model; then, the queuing length is considered, a fuel optimal vehicle trajectory optimization problem is constructed, and the fuel optimal vehicle trajectory optimization problem is simplified into a parking waiting problem and a non-parking optimization problem to obtain a real-time solution; then, the obtained real-time solution serves as the expected acceleration of the intelligent automobile, and in order to ensure the safety of the automobile, when necessary, the safe acceleration obtained according to the intelligent driver model serves as the expected acceleration of the intelligent automobile, so that collision is avoided. According to the method, the intelligent automobile obtains the traffic flow and signal lamp information through the vehicle-road communication technology so as to predict the motorcade length, the designed ecological driving algorithm avoids violent acceleration and deceleration of the automobile at the intersection, and therefore the oil consumption and the driving time of the intelligent automobile when the intelligent automobile passes through the intersection are reduced.
Description
technical field [0001] The invention belongs to the technical field of ecological driving in a networked environment, and in particular relates to an ecological driving optimization method considering queue length at intersections in a networked environment. Background technique [0002] In recent years, the continuous increase in automobile penetration has led to a significant increase in automobile energy consumption and emissions. The transportation sector has become the main sector for greenhouse gas emissions and energy consumption, accounting for about half of global oil consumption. The widespread use of fossil fuels in the transportation sector has drawn public attention to environmental change and energy sustainability. How to effectively reduce the fuel consumption caused by transportation and improve fuel efficiency is an urgent problem to be solved at present. There has been some research into reducing fuel consumption by improving vehicle technology and optimiz...
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IPC IPC(8): G08G1/0967G08G1/16
CPCG08G1/0967G08G1/166
Inventor 翟春杰杨祥宇杨建颜成钢孙垚棋
Owner HANGZHOU DIANZI UNIV