Home
Giới thiệu
Tài khoản
Đăng nhập
Quên mật khẩu
Đổi mật khẩu
Đăng ký tạo tài khoản
Liệt kê
Công trình khoa học
Bài báo trong nước
Bài báo quốc tế
Sách và giáo trình
Thống kê
Công trình khoa học
Bài báo khoa học
Sách và giáo trình
Giáo sư
Phó giáo sư
Tiến sĩ
Thạc sĩ
Lĩnh vực nghiên cứu
Tìm kiếm
Cá nhân
Nội dung
Góp ý
Hiệu chỉnh lý lịch
Thông tin chung
English
Đề tài NC khoa học
Bài báo, báo cáo khoa học
Hướng dẫn Sau đại học
Sách và giáo trình
Các học phần và môn giảng dạy
Giải thưởng khoa học, Phát minh, sáng chế
Khen thưởng
Thông tin khác
Tài liệu tham khảo
Hiệu chỉnh
Số người truy cập: 107,007,514
Design and implement the intelligent merging control for Personal Rapid Transit
Tác giả hoặc Nhóm tác giả:
Yaojung Shiao , Hoang Thang, Nguyen Thi Hai Van
Nơi đăng:
Tạp chí IEEE Xplore;
S
ố:
10.1109/ICIST.2017.7926781;
Từ->đến trang
: 101109;
Năm:
2017
Lĩnh vực:
Khoa học công nghệ;
Loại:
Bài báo khoa học;
Thể loại:
Quốc tế
TÓM TẮT
In this research, a smart transportation system integrated with a management system of highly distributed communications network for personal rapid transit (PRT) was designed. The Personal Rapid Transit (PRT) system is a new and easy-to-use transportation solution for 1-4 persons to destination directly. PRT system offers great potential for becoming a common transportation system in the future involving driverless vehicles, ride comfort or collision warning. These advantages are low construction cost and operation cost. In PRT system, two well-developped significant procedures are automatic driverless control and crossway merging control. A safe and smooth operation management of merging in automated vehicle systems for PRT is run by a merging management system. Our work investigated this new merging management system related to a distributed traffic control, new locating method and safe dynamic headway. In this system, an efficient car communication bases on the vehicle-to-vehicle wireless protocol(V2V) and highly distributed control. In order to determine the car location, RFID technique is used. A new buffer-zone strategy and fuzzy logic control are two efficient vehicle-merging algorithms that are required for dynamic determination of the merging sequence for all cars in a Y-intersection. From simulation, it was found that cruise distance can be safely kept from each car to its front car and each car can merge into mainline gently and efficiently. An experiement with 5 toy cars in a Y-route was carried out, so the effectiveness of this new merging management system can be proved convincingly.
Keywords—Merging Management; Merging Control; PRT.
ABSTRACT
In this research, a smart transportation system integrated with a management system of highly distributed communications network for personal rapid transit (PRT) was designed. The Personal Rapid Transit (PRT) system is a new and easy-to-use transportation solution for 1-4 persons to destination directly. PRT system offers great potential for becoming a common transportation system in the future involving driverless vehicles, ride comfort or collision warning. These advantages are low construction cost and operation cost. In PRT system, two well-developped significant procedures are automatic driverless control and crossway merging control. A safe and smooth operation management of merging in automated vehicle systems for PRT is run by a merging management system. Our work investigated this new merging management system related to a distributed traffic control, new locating method and safe dynamic headway. In this system, an efficient car communication bases on the vehicle-to-vehicle wireless protocol(V2V) and highly distributed control. In order to determine the car location, RFID technique is used. A new buffer-zone strategy and fuzzy logic control are two efficient vehicle-merging algorithms that are required for dynamic determination of the merging sequence for all cars in a Y-intersection. From simulation, it was found that cruise distance can be safely kept from each car to its front car and each car can merge into mainline gently and efficiently. An experiement with 5 toy cars in a Y-route was carried out, so the effectiveness of this new merging management system can be proved convincingly.
Keywords—Merging Management; Merging Control; PRT.
[
2017\2017m06d022_21_59_33ieeeletter_Thang_HOANG_Hai_Van_NGUYEN.pdf
]
© Đại học Đà Nẵng
Địa chỉ: 41 Lê Duẩn Thành phố Đà Nẵng
Điện thoại: (84) 0236 3822 041 ; Email: dhdn@ac.udn.vn