Hybrid traffic flow model for intelligent vehicles exiting to off-ramp

计算机科学 巡航控制 瓶颈 流量(计算机网络) 智能交通系统 协同自适应巡航控制 模拟 汽车工程 实时计算 控制(管理) 运输工程 人工智能 工程类 嵌入式系统 计算机网络
作者
Changyin Dong,Hao Wang,Wei Wang,Ye Li,Xuedong Hua
出处
期刊:Chinese Physics [Science Press]
卷期号:67 (14): 144501-144501 被引量:9
标识
DOI:10.7498/aps.67.20172752
摘要

With the rapid development of vehicular technology, hi-tech manufacturing facilities are equipped in intelligent vehicles to improve road capacity and traffic safety. However, freeway diverge segment has significant influence on current traffic flow, and could affect the heterogeneous traffic flow consisting of manual and intelligent vehicles. The primary objective of this study is to evaluate how intelligent vehicles affect traffic flow at an off-ramp bottleneck.In order to depict the car-following dynamics of manual vehicles, the modified comfortable model, one of the most classic cellular automata models, is employed to distinguish intelligent vehicles. In this paper, intelligent vehicles consist of adaptive cruise control (ACC) vehicles cooperative adaptive cruise control (CACC) vehicles. The ACC and CACC model are proposed by partners for advanced transportation technology (PATH), which are validated by real experimental data. Besides, vehicles equipped with CACC will degrade ACC vehicle if the leading vehicle is driven manually. From the perspective of vehicle's lateral movement, two novel lane-changing models, including the discretionary lane-change (DLC) model and mandatory lane-change (MLC) model, are developed to model the future behaviors of intelligent vehicles. A risk factor λ is introduced into the DLC model to distinguish vehicles from conventional ones. Based on environment perception technology, a five-step MLC decision-making model is designed specifically for intelligent vehicles exiting to off-ramp. It is comprised of environment perception, safe gap computation, measured gap ranking, measured gap classification and lane-changing gap selection. Based on the proposed hybrid traffic flow model, numerical simulations are conducted to study the influences of intelligent vehicles on the traffic flow near an off-ramp. Apart from the market penetration of intelligent vehicles, parameters considered in this paper include the demands of mainlines and off-ramp, range of environment perception, length of lane-changing area, and level of lane-changing risk.Analytical studies and simulation results are as follows. 1) The integration of car-following model and lane-changing model for the off-ramp system enables vehicles to have reasonable dynamic characteristics. 2) The capacity ascends to the peak after an initial decrease as CACC vehicle penetration increases. The maximum capacity obtained in 100% CACC vehicle scenario is improved by over 50%, compared with that in 50% CACC penetration scenario. 3) Enlarging the ranges of environment perception and lane-changing areas, and enhancing the lane-changing risk can significantly dissipate congestion upstream of the off-ramp and improve the efficiency of mainlines. However, they have little influence on traffic flow at off-ramp. 4) The worst performance of the system occurs in the scenario of 50% CACC penetration, where deterioration caused by degraded ACC vehicles suggests that enough patience and public confidence should be paid for the development of intelligent vehicles.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
善良冷松发布了新的文献求助10
刚刚
2秒前
在水一方应助一定行采纳,获得10
3秒前
3秒前
3秒前
NexusExplorer应助快乐一江采纳,获得10
4秒前
4秒前
科研通AI5应助Lcccccc采纳,获得10
4秒前
在水一方应助杰2580采纳,获得10
7秒前
幸福大白发布了新的文献求助30
7秒前
Jasmine发布了新的文献求助10
7秒前
8秒前
善良冷松完成签到,获得积分10
8秒前
8秒前
善学以致用应助fengliurencai采纳,获得10
9秒前
个别完成签到,获得积分10
10秒前
10秒前
10秒前
11秒前
sihanzhiyu完成签到,获得积分20
12秒前
12秒前
wdy111应助ASZXDW采纳,获得20
14秒前
14秒前
wsj发布了新的文献求助10
14秒前
旧梦发布了新的文献求助10
14秒前
东晓发布了新的文献求助10
15秒前
科研通AI5应助科研通管家采纳,获得10
15秒前
bkagyin应助科研通管家采纳,获得10
15秒前
共享精神应助科研通管家采纳,获得10
15秒前
852应助科研通管家采纳,获得10
15秒前
NexusExplorer应助科研通管家采纳,获得10
15秒前
酷波er应助科研通管家采纳,获得10
16秒前
从容的鲜花完成签到,获得积分10
16秒前
酷波er应助科研通管家采纳,获得10
16秒前
CAOHOU应助科研通管家采纳,获得10
16秒前
研友_VZG7GZ应助科研通管家采纳,获得10
16秒前
SYLH应助科研通管家采纳,获得10
16秒前
SYLH应助科研通管家采纳,获得10
16秒前
田様应助科研通管家采纳,获得10
16秒前
16秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989390
求助须知:如何正确求助?哪些是违规求助? 3531487
关于积分的说明 11254109
捐赠科研通 3270153
什么是DOI,文献DOI怎么找? 1804887
邀请新用户注册赠送积分活动 882087
科研通“疑难数据库(出版商)”最低求助积分说明 809174