SELF-DRIVING TRANSPORTATION SYSTEM FOR ECO-CAMPUS

Othman Ahmad, Md. Nazrul Islam, A. Chekima, Zakariah Aris
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Abstract

In large campuses such as UMS and NTU, students need to move at long distances. The transportation of choice has been public transportation. The most common is in the form of buses. Buses need bus stops at strategic locations and only travel at intervals. Although buses are the most eco-friendly among all the transportation systems within a campus, alternative technologies had been studied to improve it further. Self-driving technologies are the most promising. Combined with sharing technologies such as Uber share, self-driving cars offer the most promising solution. Self-driving technologies are already under active development. Campus application should be the first choice for deployment. Campus environment is a private environment so is well controlled. The maps and network infrastructures are well established so will allow reliable self-driving technologies to be used within the campus only. It is therefore surprising that there are few trials involving self-driving transportation systems in a campus environment. There are various possibilities but all these should be overcome in order to have a truly eco-friendly environment within the campus. Electrical shared self-driving cars allow eco-friendly mass transportation of people because electricity is a clean energy. Sharing allows full utilisation of the vehicles unlike other modes of transportation. Mobile apps and GPS allow pickup of passengers at any safe place instead of just at designated places. Because self-driving cars have no drivers, small vehicles may be used economically without the added costs of an extra non-paying passenger and salary of the driver for each vehicle. The lack of any driver also makes it safer for the students especially female students. Although there are still issues of safety among current self-driving technologies as had been shown by the accidents suffered by Tesla cars running on even semi-autonomous modes, safety within the campus should be much better and there is no need for full certification from the transportation authorities. Operating within the campus environment allow operators to operate without the strict licencing requirements of the public transportation environment. Safety can still be ensured by restricting the operation of the self-driving vehicles within clearly marked roads in the campus, enforcing safe speed limits such as the 50 km/hr imposed by Google and restricting operations in clear weather and daytime only. With remote operators and emergency buttons, even the semi-autonomous modes that are within the capabilities of current hardware, self-driving ride-sharing cars should be possible.
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生态校园自动驾驶交通系统
在像UMS和南洋理工大学这样的大型校园里,学生需要长距离移动。人们选择的交通工具是公共交通。最常见的形式是公共汽车。公共汽车需要在战略位置停靠,并且只能隔一段时间行驶。虽然公共汽车是校园内所有交通系统中最环保的,但人们已经研究了替代技术来进一步改善它。自动驾驶技术是最有前途的。与优步共享等共享技术相结合,自动驾驶汽车提供了最有希望的解决方案。自动驾驶技术已经在积极开发中。校园应用程序应该是部署的首选。校园环境是一个私人环境,所以很好地控制。地图和网络基础设施都很完善,因此可靠的自动驾驶技术只能在校园内使用。因此,令人惊讶的是,几乎没有在校园环境中进行自动驾驶交通系统的试验。有各种各样的可能性,但为了在校园内拥有一个真正的生态友好的环境,所有这些都应该被克服。电动共享自动驾驶汽车是一种环保的大众交通工具,因为电力是一种清洁能源。与其他交通方式不同,共享可以充分利用车辆。手机应用和GPS可以让乘客在任何安全的地方搭车,而不仅仅是在指定的地点。由于无人驾驶汽车没有司机,小型车辆的使用可能更经济,而不会增加额外的免费乘客和每辆车司机的工资。没有司机也使学生,尤其是女学生更安全。尽管目前的自动驾驶技术仍然存在安全问题,正如特斯拉汽车在半自动驾驶模式下所遭遇的事故所表明的那样,但园区内的安全性应该会好得多,而且不需要交通部门的全面认证。在校园环境内运营允许运营商在没有严格的公共交通环境许可要求的情况下运营。通过限制自动驾驶汽车在校园内明确标记的道路上行驶,执行谷歌规定的50公里/小时等安全限速,以及限制在晴朗天气和白天行驶,仍然可以确保安全。有了远程操作员和紧急按钮,即使是在当前硬件能力范围内的半自动模式,自动驾驶拼车也应该是可能的。
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