Investigating Road Networks Requirement To Meet Demand - Samples

Question: Discuss about the Investigating Road Networks Requirement To Meet Demand Of Autonomous Vehicles. Answer: Project description The emergent of autonomous vehicle through the efforts of Google and Audi has raised new demands and requirements on the road networks. These vehicles are designed to travel on the same road networks with human driven cars (Gao, 2014). Therefore there is requirement for the autonomous vehicles to understand road network to enhance the safety measures. The road network needs to be fitted with technologies which can communicate with the autonomous car technology. This will ensure that the safety of the roads is enhanced. This report will analyze the different key aspects which the road networks need to be upgraded to accommodate the autonomous vehicles while maintaining high level of safety. Sensors and detectors are main parts which form the autonomous technology on vehicles. Road network has different terrains which affect the movement of vehicles on them. the autonomous vehicle need to detect any change on the terrain and change the different parameters such as speed (Rezaei Klette, 2017). These technologies need to be enhanced to ensure that the communication between the autonomous vehicles and road network is perfect. First, the autonomous vehicle has to understand the different status of the road networks. Factors considered for project selection AV is new topic and the public have little knowledge on it. Learning the interaction between AV and human on road networks is important I have high interest in solving obstruction on roads especially when machine has to make decisions which affect other road users. This project will look at the conflicts which AV is likely to face on road section and provide viable solutions. Hour to be spent on the project per week Between 9 and 13 hours. Under this article, Gao (2014) considers the problems which are experienced while implementing model predictive controllers for lane keeping. The autonomous vehicles have to interact with other vehicles on which lane they keep. Obstacles are faced while the AV is on the road and the controller has to earn and determine the result of the decision to be taken. Road network may include some sensors which will help the AV to function well and ensure that they avoid any irrelevant obstacles faced on the road. This article considers the use of MPC to help overcome the obstacles such as other roads and different roads statuses. This article is able to focus on the state of AV and driver and road monitoring. Rezaei and Klette (2017) looks to address challenges which drivers on road networks face when they interact with AV. In addition, this article looks at scenario of a driver operating a semi-autonomous vehicle. In this, the article provides different road factors which the driver has to concentrate on and the way to enhance the safety parameters. The authors provide the general overview of the way computer vision technologies operate to assist drivers and AV on roads. The article looks at the effects of introduction of Av on roads. The main aim of the article and authors is to show the way the interaction of AVs with other roads user on the roads. Obstacles such as pedestrians on the roads are some of the authors look at. The pedestrian will be unable to differentiate between human driven vehicles and AVs. This means that the AVs must learnt and detect obstructions and make viable decisions. Rodri?guez (2017) analyzes the different ways the pedestrians have to react while having the AVs on roads. These are important obstacles which the AVs will have to detect and make decisions upon interacting with them. Traffic management is one of the important points this article is able to present. The AVs will have to interact with different traffic measures and utilities when on road networks. Their interaction and decision making will be important to road safety. Gora (2018) makes the analysis on the ability of the AVs to evaluate different traffic conditions and their level of decisions making. Road network utilities such as traffic signals and route assignments are some of road factors which the author highlight to be able to affect the AVs. System boundaries are one of the major challenges which AVs are likely to face. According to Walch et al., (2017), this challenge may be solved through bimodal handover assistance. This technology will involve auditory and visual elements of monitoring AVs. This article looks at measures which can be used to enhance the safety of AVs while on roads. This article focuses on the way to reduce the crash level for the AV technology. The obstructions on roads are indicators of major accidents and crash when different capacities of vehicles interact. The AV technology is meant to make the road networks safer and this article analysis the worth of the technology on the roads. This article looks at different measures and reaction which the public has to take in order to enhance the AV technology. The AVs are likely to be impacted a lot by the reaction and performance of the public at the road networks. The article shows that there are different measures which the public has to take to ensure that AVs are less obstructed on the roads. The journal indicates that the public need more information to understand the AVs and therefore help them in transferring the road networks. The communication in road networks is essential to enhance the movement of traffic. The AVs communication with human driver vehicles and AVs is important to enhance traffic flow. This will ensure that the two are able o enhance flow on the roads. This article looks at communication channels and problems faced when AVs are introduced on the roads. This article tries to solve issues related to obstructions of AV. The key issue which the article is related to is the use of AV in agricultural setup. The authors focus on enhancing the detection of obstacles in agricultural setup for the AV. Wang et al., (2010) look at different issues related issues between the Av and outside world to enhance the safety measures. This helps to determine the effectiveness of the use of cameras as sensors at different parts of the fields. Automated calibration method is utilized in the experimental to help solve issues related to the safety issues while the AVs are on roads. This article looks at the development of Av and its interaction with the road networks. The conference looked at different measures which can be made to enhance the safety measures on roads while using the AV. It addition looks at intelligent control systems which can be developed on road network. These will be used to enhance the safety measures of the road network. Autonomous robots are one of the key ideas which the article develops to enhance the safety measures on the roads when using AV. Bibliography Gao, Y. (2014). Model Predictive Control for Autonomous and Semiautonomous Vehicles. Berkeley, CA. Wang, Q., Zhang, Q., Zhang, Q., Amir, E., Grift, T. E., Hansen, A. C., Tian, L. (2010). Autonomous machine vision for off-road vehicles in unstructured fields. Urbana, IL: University of Illinois. International Conference on Intelligent Autonomous Systems, Lee, S. (2013). Intelligent autonomous systems 12: Proceedings of the 12th International Conference IAS-12, held June 26-29, 2012, Jeju Island, Korea. Heidelberg: Springer. Pettigrew, S. (February 23, 2017). Why public health should embrace the autonomous car. Australian and New Zealand Journal of Public Health, 41, 1, 5-7. Fa?rber, B. (January 01, 2016). Communication and Communication Problems Between Autonomous Vehicles and Human Drivers. Berkeley, CA. Vishwajit, N., Rijita, P., Rajesh, S., Sahadev, R. (January 01, 2016). Low-Cost Crash Protection System for Heavy Motor Vehicles. Cham, Switzerland : Springer. Walch, M., Mhl, K., Baumann, M., Weber, M. (April 01, 2017). Autonomous Driving: Investigating the Feasibility of Bimodal Take-Over Requests. International Journal of Mobile Human Computer Interaction (ijmhci), 9, 2, 58-74. Rezaei, M., Klette, R. (2017). Computer vision for driver assistance: Simultaneous traffic and driver monitoring. Cham, Switzerland : Springer. Gora, P. (January 01, 2018). Simulation-Based Traffic Management System for Connected and Autonomous Vehicles. Heidelberg: Springer. Rodri?guez Palmeiro, Ana (author). (2017). Interaction between pedestrians and Wizard of Oz automated vehicles. Cham, Switzerland : Springer.