×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
北京航空航天大学 [1]
长春光学精密机械与物... [1]
内容类型
会议论文 [1]
期刊论文 [1]
发表日期
2018 [1]
2011 [1]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共2条,第1-2条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
The alpha-reliable path problem in stochastic road networks with link correlations: A moment-matching-based path finding algorithm
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2018, 卷号: 110, 页码: 20-32
作者:
Chen, Peng
;
Tong, Rui
;
Lu, Guangquan
;
Wang, Yunpeng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Stochastic road networks
Reliable shortest path
Travel time reliability
Link correlations
Hybrid genetic algorithm
Personalized routing guidance
Neural network based online traffic signal controller design with reinforcement training (EI CONFERENCE)
会议论文
14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011, October 5, 2011 - October 7, 2011, Washington, DC, United states
Dai Y.
;
Hu J.
;
Zhao D.
;
Zhu F.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2013/03/25
Traffic congestion leads to problems like delays
decreasing flow rate
and higher fuel consumption. Consequently
keeping traffic moving as efficiently as possible is not only important to economy but also important to environment. Traffic system is a large complex nonlinear stochastic system. Traditional mathematical methods have some limitations when they are applied in traffic control. Thus
computational intelligence (CI) technologies gain more and more attentions. Neural Networks (NNs) is a well developed CI technology with lots of promising applications in traffic signal control (TSC). In this paper
a neural network (NN) based signal controller is designed to control the traffic lights in an urban traffic road network. Scenarios of simulation are conducted under a microscopic traffic simulation software. Several criterions are collected. Results demonstrate that through online reinforcement training the controllers obtain better control effects than the widely used pre-time and actuated methods under various traffic conditions. 2011 IEEE.
©版权所有 ©2017 CSpace - Powered by
CSpace