Research Progress and Prospects of Transit Priority Signal Intersection Control Considering Carbon Emissions in a Connected Vehicle Environment

交叉口(航空) 过境(卫星) 汽车工程 温室气体 控制(管理) 运输工程 信号(编程语言) 碳纤维 环境科学 业务 工程类 计算机科学 公共交通 算法 人工智能 复合数 程序设计语言 生物 生态学
作者
Xinghui Chen,Xinghua Hu,Ran Wang,Jiahao Zhao
出处
期刊:World Electric Vehicle Journal [Multidisciplinary Digital Publishing Institute]
卷期号:15 (4): 135-135 被引量:2
标识
DOI:10.3390/wevj15040135
摘要

Transit priority control is not only an important means for improving the operating speed and reliability of public transport systems, but it is also a key measure for promoting green and sustainable urban transportation development. A review of signal intersection transit priority control strategy in a connected vehicle environment is conducive to discovering important research results on transit priority control at home and abroad and will promote further developments in urban public transport. This study analyzed and reviewed signal intersection transit priority control at four levels: traffic control sub-area divisions, transit signal priority (TSP) strategy, speed guidance strategy, and the impacts of intersection signal control on carbon emissions. In summary, the findings were the following: (1) In traffic control sub-area divisions, the existing methods were mainly based on the similarity of traffic characteristics and used clustering or search methods to divide the intersections with high similarity into the same control sub-areas. (2) The existing studies on the TSP control strategy have mainly focused on transit priority control based on fixed phase sequences or phase combinations under the condition of exclusive bus lanes. (3) Studies on speed guidance strategy were mainly based on using constant bus speeds to predict bus arrival times at intersection stop lines, and it was common to guide only based on bus speed. (4) The carbon emissions model for vehicles within the intersection mainly considered two types of vehicles, namely, fuel vehicles and pure electric vehicles. Finally, by analyzing deficiencies in the existing studies, future development directions for transit priority control are proposed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zwh关闭了zwh的文献求助
刚刚
刚刚
丝状佩奇完成签到 ,获得积分10
1秒前
1秒前
ying发布了新的文献求助10
2秒前
小蘑菇的应助被lzx采纳,获得10
3秒前
3秒前
刘锰完成签到,获得积分20
4秒前
Shi___yi发布了新的文献求助10
5秒前
样样发布了新的文献求助10
5秒前
5秒前
文静发箍发布了新的文献求助10
6秒前
所所的应助被乐易天采纳,获得10
6秒前
Li关闭了Li的文献求助
6秒前
乐乐的应助被Lc采纳,获得10
6秒前
6秒前
7秒前
8秒前
ceruelan发布了新的文献求助10
9秒前
烟花的应助被ying采纳,获得10
10秒前
10秒前
12秒前
xiaoyu完成签到,获得积分10
14秒前
han发布了新的文献求助10
14秒前
Lost_Flight完成签到,获得积分10
14秒前
诸葛明明的应助被maclogos采纳,获得50
14秒前
样样完成签到,获得积分10
15秒前
15秒前
17秒前
17秒前
18秒前
丘比特的应助被Shi___yi采纳,获得10
18秒前
科研通AI6.4的应助被哈哈哈采纳,获得10
19秒前
小方发布了新的文献求助10
20秒前
科目三的应助被suonik采纳,获得10
21秒前
咕咕发布了新的文献求助10
21秒前
ZZxn发布了新的文献求助30
22秒前
华仔的应助被程佳运采纳,获得10
23秒前
23秒前
dzh250发布了新的文献求助10
24秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
Encyclopedia of Geology 2nd Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7805161
求助须知:如何正确求助?哪些是违规求助? 9338785
关于积分的说明 20493084
捐赠科研通 7397170
什么是DOI,文献DOI怎么找? 3327705
关于科研通互助平台的介绍 2474554
邀请新用户注册赠送积分活动 2345813