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
2秒前
瑾玉完成签到,获得积分10
2秒前
4秒前
Akim应助duckspy采纳,获得10
4秒前
那种完成签到,获得积分10
4秒前
liuyanq完成签到,获得积分20
4秒前
5秒前
普鲁卡因发布了新的文献求助10
6秒前
加油杨完成签到 ,获得积分10
7秒前
liuyanq发布了新的文献求助10
10秒前
随风完成签到,获得积分10
13秒前
量子星尘发布了新的文献求助10
15秒前
米九完成签到,获得积分10
17秒前
zhao完成签到,获得积分10
20秒前
普鲁卡因发布了新的文献求助10
20秒前
zj完成签到,获得积分10
26秒前
蓝橙完成签到,获得积分10
27秒前
31秒前
GD88完成签到,获得积分10
32秒前
糟糕的梨愁完成签到,获得积分10
33秒前
莫西莫西完成签到 ,获得积分10
34秒前
小趴蔡完成签到 ,获得积分10
36秒前
唐唐发布了新的文献求助10
36秒前
飘逸剑身完成签到,获得积分10
39秒前
airtermis完成签到 ,获得积分10
39秒前
gfasdjsjdsjd完成签到,获得积分10
40秒前
40秒前
杨宁完成签到 ,获得积分10
40秒前
MchemG应助transition采纳,获得20
41秒前
科研通AI2S应助科研通管家采纳,获得10
42秒前
lxy发布了新的文献求助10
44秒前
gfasdjsjdsjd发布了新的文献求助10
45秒前
JCao727完成签到,获得积分10
45秒前
45秒前
46秒前
OAHCIL完成签到 ,获得积分10
47秒前
lixueao发布了新的文献求助10
48秒前
无辜的行云完成签到 ,获得积分0
51秒前
FIN应助gfasdjsjdsjd采纳,获得20
53秒前
今后应助gfasdjsjdsjd采纳,获得10
53秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
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 4038128
求助须知:如何正确求助?哪些是违规求助? 3575831
关于积分的说明 11373827
捐赠科研通 3305610
什么是DOI,文献DOI怎么找? 1819255
邀请新用户注册赠送积分活动 892655
科研通“疑难数据库(出版商)”最低求助积分说明 815022