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下面为大家整理一篇优秀的paper代写范文- The influence of unmanned vehicle on traffic flow,供大家参考学习,这篇论文讨论了无人车对交通流的影响。如今,大城市交通拥堵的问题越来越严峻,而无人车可能是其中的解决办法之一。无人驾驶汽车可以自动驾驶,不需要人工控制,它可以减小车辆间距,从而增加道路容量,同时又十分安全,可以减少交通事故的发生。

unmanned vehicle,无人车,英国论文代写,论文代写,paper代写

The problem of traffic congestion is becoming increasingly serious, and driverless cars have been proposed as a solution to improve road traffic capacity. This paper analyzes the influence factors of urban traffic efficiency, studies the characteristics of unmanned vehicle, and probes into the influence of unmanned vehicle on traffic flow.

The problem of traffic congestion is getting worse. The analysis of urban traffic efficiency and its influencing factors is not only the important foundation of Urban road network planning and design, but also determines the scale, form and highway construction of urban road construction. Project Feasibility Study is an important premise of urban road construction, and other aspects of the evaluation to provide a scientific theory.

http://www.51due.net/writing/research-paper/sample31604.html

The unmanned vehicle is provided with a vehicle sensor for sensing and gathering environmental data around the unmanned vehicle, which can include cameras, LIDAR and global Positioning System sensors. The intelligent processing module is used to determine and control the operating parameters such as steering parameters and/or speed parameters of unmanned vehicle, so that the unmanned vehicle can travel safely and reliably on the road, and the Intelligent processing module can include decision-making module and control module.

In particular, we can obtain the video image data collected by the unmanned vehicle camera, the point cloud data collected by LIDAR, the location data collected by GPS sensors and so on, and can obtain the steering data and/or velocity data of the decision-making module output of the unmanned vehicle and the execution result data of the control module output.

In many areas, traffic capacity is limited by the number of road strips and many other causes. Driverless cars can be driven automatically without manual control. This kind of car has been proposed as a solution to improve road traffic capacity. Unmanned vehicles can reduce vehicle spacing, while very safe, reduce the occurrence of traffic accidents, thereby increasing road capacity.

In order to obtain the number of lines, peak capacity and the percentage of unmanned vehicles to the vehicle design capacity, we analyzed these three factors respectively to get their corresponding relationship. Since there are no drivers for driverless vehicles, the driver's reaction time is approximately equal to zero in the event of an emergency, while a large amount of information is available to get an unmanned vehicle on the road while driving, its average speed is faster than that of a general driver. As a result, as the percentage of driverless vehicles increases, the capacity of road accessibility increases. At the same time, it is obvious that road capacity increases as the number of road lines increases. In addition to these two factors, we have the intersection of the road as an influential factor, when there are intersections, the road capacity will be reduced.

The traffic flow is not only dependent on the road capacity, but also related to other factors, so we choose the location of the road, road network density, regional vehicle ownership, road service levels and the five factors to further analysis. Road traffic in towns is relatively large, if the road is located in a large network density, then its traffic will be greater. A region with a higher vehicle ownership, the road traffic will also be relatively improved. The traffic volume of the section will be larger when the service level is higher and the travel peak period.

After the study, it is concluded that there are different solutions for different regions, especially the different density of road network. First of all, there are several factors affecting the road capacity, but considering the existing road conditions and no fundamental changes to the road, the participation and occupation ratio of unmanned vehicles will have a significant effect on the road capacity.

In the study, first, in very unblocked sections, when the percentage of unmanned vehicles is less than 54%, with the increase in the percentage of unmanned vehicles, the speed of the road's capacity to increase slowed, but when the vehicle accounted for more than that point, the road capacity increased faster, taking into account the cost of unmanned vehicles, indicating that the type of road is not suitable for unmanned vehicles. Second, in the General unblocked Road, when the percentage of unmanned vehicles in 40%, unmanned vehicles on the road to the capacity of the most impact, and in the future to smooth, for similar sections, the proposed introduction of unmanned vehicles to alleviate traffic pressure. In the last case, the most congested section, when the percentage of the unmanned vehicle is 45%, the capacity of the road section reaches the maximum, but the capacity of the road is reduced slightly, we think that this is because the maximum traffic volume limits the increase of traffic flow, in view of this type of road, it is recommended to set up unmanned lane to ease the pressure.

By comparing the congested road with the actual map, it was found that the most traffic volume was concentrated in the town center, especially the surrounding road density and the intersection of main roads. In these places the road to the unmanned vehicle can significantly ease the traffic pressure.

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