Transportmetrica A-Transport Science最新文献_第7页

Exploring the impact mechanism of communicating information on the perturbation propagation 探讨通信信息对微扰传播的影响机制

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2035013

Chao Li , Xiao-Mei Zhao , Dong-Fan Xie , Zhengbing He , Chaoru Lu

{"title":"Exploring the impact mechanism of communicating information on the perturbation propagation","authors":"Chao Li , Xiao-Mei Zhao , Dong-Fan Xie , Zhengbing He , Chaoru Lu","doi":"10.1080/23249935.2022.2035013","DOIUrl":"10.1080/23249935.2022.2035013","url":null,"abstract":"<div><p>A speed perturbation model is proposed in this paper for the heterogeneous platoon to measure the interaction between vehicles and investigate the propagation laws of perturbations. Then, a ratio is defined to quantify the relationship between the communicating information impact (CII) and the car-following behaviour impact (CFI). A modified IDM is employed to evaluate the role of communicating information in perturbation propagation. Results show that communicating information can suppress the amplification of perturbation. Under the stable environment, the interaction between vehicles decreases with frequency. There is a critical frequency <span><math><mrow><msub><mi>ω</mi><mi>c</mi></msub></mrow></math></span> (value of 0.55 in this case) that distinguishes the relationship between the CII and CFI. When the frequency is smaller than <span><math><mrow><msub><mi>ω</mi><mi>c</mi></msub></mrow></math></span>, the CFI is larger than CII; otherwise, the CII dominates the interactions between vehicles. Under the unstable environment, the interaction between vehicles increases first and decreases then, where the vehicles are mainly affected by the car-following behaviours.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"20 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42707159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing changes in job accessibility and commuting time under bike-sharing scenarios 评估共享单车情景下工作可达性和通勤时间的变化

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2043950

Jianying Wang , Mei-Po Kwan , Wenpu Cao , Yongxi Gong , Liang Guo , Yu Liu

{"title":"Assessing changes in job accessibility and commuting time under bike-sharing scenarios","authors":"Jianying Wang , Mei-Po Kwan , Wenpu Cao , Yongxi Gong , Liang Guo , Yu Liu","doi":"10.1080/23249935.2022.2043950","DOIUrl":"10.1080/23249935.2022.2043950","url":null,"abstract":"<div><p>Bike-sharing improves individual mobility, considerably reshaping the landscape of job accessibility and commuting time. Existing empirical studies in urban transportation involving commuting usually collect survey data at the aggregate level. A comprehensive understanding of the influence of bike-sharing on commuting and job accessibility at the city level is still missing in developing countries. Using mobile phone data in Beijing, this study addresses these questions with a commuting mode model and cumulative accessibility model. The results indicate that bike-sharing could lead to a decrease in commuting time and an increase in job accessibility. The availability of bike-sharing services has a positive relationship with its effectiveness. Meanwhile, bike-sharing significantly reduces the horizontal and vertical inequality in commuting time and job accessibility at both the individual and spatial levels. These findings provide insights into the popularity of bike-sharing in China, shed light on the equity influence of bike-sharing, and provide a quantitative measurement of the benefit of bike-sharing.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"20 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48358559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Active learning metamodelling for survival rate analysis of simulated emergency medical systems 用于模拟急救医疗系统生存率分析的主动学习元模型

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2046203

Francisco Antunes , Marco Amorim , Francisco Pereira , Bernardete Ribeiro

引用次数: 0

Effects of second-best tradable credit scheme on transportation network for travel mobility management 次优信用交易方案对交通网络出行管理的影响

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2124894

Jiajian Chai , Guangmin Wang , Meng Xu , Ziyou Gao

引用次数: 0

Improving car-following model to capture unobserved driver heterogeneity and following distance features in fog condition 改进汽车跟随模型，捕捉雾天条件下未观察到的驾驶员异质性和跟随距离特征

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2048917

Yan Huang , Xuedong Yan , Xiaomeng Li , Ke Duan , Andry Rakotonirainy , Zhijun Gao

{"title":"Improving car-following model to capture unobserved driver heterogeneity and following distance features in fog condition","authors":"Yan Huang , Xuedong Yan , Xiaomeng Li , Ke Duan , Andry Rakotonirainy , Zhijun Gao","doi":"10.1080/23249935.2022.2048917","DOIUrl":"10.1080/23249935.2022.2048917","url":null,"abstract":"<div><p>The paper aims to develop an improved Fog-related Intelligent Driver Model (FIDM) that reproduces drivers’ car-following behaviour features by taking into account unobserved driver heterogeneity in fog condition. A multi-user driving simulator experiment was performed, and a vehicle fleet consisting of nine vehicles was tested in different fog and speed limits conditions. The experimental results showed that the unobserved driver heterogeneity (the combination of intra-driver heterogeneity and inter-driver heterogeneity) tended to increase as the fog density decreased. The average following distance tended to increase with the decrease of fog density and increase of speed limit. Two indexes were proposed to verify the performance of the FIDM. The results showed that FIDM performed better in reproducing unobserved driver heterogeneity and average following distance compared to the current popular car-following models. This study contributes to an improved car-following model for better understanding traffic flow phenomena under foggy conditions.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"20 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46903706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Two-stage procedure for transportation mode detection based on sighting data 基于瞄准数据的两阶段运输模式检测方法

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2118558

Huey-Kuo Chen , Hsiao-Ching Ho , Luo-Yu Wu , Ian Lee , Huey-Wen Chou

引用次数: 0

Modelling personalised car-following behaviour: a memory-based deep reinforcement learning approach 个性化汽车跟随行为建模:基于记忆的深度强化学习方法

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2035846

Yaping Liao , Guizhen Yu , Peng Chen , Bin Zhou , Han Li

{"title":"Modelling personalised car-following behaviour: a memory-based deep reinforcement learning approach","authors":"Yaping Liao , Guizhen Yu , Peng Chen , Bin Zhou , Han Li","doi":"10.1080/23249935.2022.2035846","DOIUrl":"10.1080/23249935.2022.2035846","url":null,"abstract":"<div><p>To adapt to human-driving habits, this study develops a personalised car-following model via a memory-based deep reinforcement learning approach. Specifically, Twin Delayed Deep Deterministic Policy Gradients (TD3) is integrated with a long short-term memory (LSTM) (abbreviated as LSTM-TD3). Using the NGSIM dataset, unsupervised learning-based clustering and data feature analyses are performed. The driving characteristics related to safety, efficiency and comfort are extracted for different driving styles, i.e. aggressive, common and conservative. Then, reward functions are constructed for different driving styles by incorporating their driving characteristics. By resorting to the TD3 policy within a recurrent actor–critic framework, LSTM-TD3 optimises the car-following behaviour via trial-and-error interactions according to the reward functions. Results show that compared with LSTM-DDPG and DDPG, LSTM-TD3 reproduces personalised car-following behaviour with desirable convergence speed and reward. It reveals that LSTM-TD3 can reflect the essential difference in safety, efficiency and comfort requirements among different driving styles.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"20 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41485940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Combined flexible lane assignment and reservation-based intersection control in field-like traffic conditions 现场交通条件下基于灵活车道分配和预留的交叉口组合控制

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2119113

Farzaneh Azadi , Nikola Mitrovic , Aleksandar Z. Stevanovic

{"title":"Combined flexible lane assignment and reservation-based intersection control in field-like traffic conditions","authors":"Farzaneh Azadi , Nikola Mitrovic , Aleksandar Z. Stevanovic","doi":"10.1080/23249935.2022.2119113","DOIUrl":"10.1080/23249935.2022.2119113","url":null,"abstract":"<div><p>A concept called Combined Alternate-Direction Lane Assignment and Reservation-based Intersection Control (CADLARIC) was recently proposed for better management of directionally unrestricted traffic flows in a Connected and Autonomous Vehicles (CAVs) environment. In CADLARIC, vehicles must position themselves in a proper lane before they reach the downstream intersection, which enables the resolution of vehicular conflicts both between intersections and, as traditionally, within the intersection boxes. CADLARIC has shown very promising results, but it is quite infrastructurally demanding, requiring six lanes per intersection approach. To overcome this problem, we propose here Combined Flexible Lane Assignment and Reservation-based Intersection Control (CFLARIC), a more robust concept that offers a full spectrum of lane assignment possibilities in combination with the appropriate reservation-based intersection control. Three distinctive CFLARIC strategies are tested on a simulated three-intersection corridor from West Valley City, Utah. The efficiency and safety performance of the proposed CFLARIC scenarios are evaluated through a comparison with Fixed-Time Control (FTC) and Full Reservation-based Intersection Control (FRIC), both with conventional lane assignments. The results illustrate that CFLARIC scenarios: (i) outperform FTC and FRIC in terms of efficiency (delay and number of stops), and (ii) improve overall safety (by reducing a number of conflicting situations) when compared to FRIC. The findings of this study prove that flexible control concepts such as CFLARIC have a great potential to improve safety and efficiency in future CAV environment. Future research needs to define under which conditions and how the proposed concept could be partially implemented in field operations.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"20 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41788112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modelling the impact of context in real-world highway pull-out dynamics to inform acceptable path planning of automated vehicles 模拟现实世界高速公路拉出动态环境的影响，为自动驾驶车辆的可接受路径规划提供信息

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2043951

Anna-Maria Sourelli , Ruth Welsh , Pete Thomas

{"title":"Modelling the impact of context in real-world highway pull-out dynamics to inform acceptable path planning of automated vehicles","authors":"Anna-Maria Sourelli , Ruth Welsh , Pete Thomas","doi":"10.1080/23249935.2022.2043951","DOIUrl":"10.1080/23249935.2022.2043951","url":null,"abstract":"<div><p>Growing research attention is focusing on Automated Vehicle (AV) technologies, promising significant safety benefits. An in-depth understanding of human driving will play an important role in determining the most acceptable AV behaviour, supporting passenger comfort and thus the adoption of the technology, but also the optimal prediction of the behaviour of the surrounding traffic. The current study examined 1740 real-world motorway pull-out manoeuvres (pull-out distance, speed differential with the leading vehicle, manoeuvre duration, pull-out comfort zone) under different conditions. The results highlighted the significant impact of the surrounding traffic and the driving characteristics on or before the manoeuvre initiation point, which reflected the overtaking strategy selected. The findings can inform the design of automated overtaking systems that resemble human driving and thus encourage their uptake; in addition, they can assist the intention prediction for lane keeping assistance systems in order to optimise the system’s response to cutting in and pull-out manoeuvres.</p></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"20 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48953256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Two-stage control for transfer synchronisation and regularity of subsequent bus line service 转换同步的两阶段控制和后续公交线路服务的规律性

IF 3.3 2区工程技术

Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI: 10.1080/23249935.2022.2103599

Hu Zhang , Shidong Liang , Shengxue He , Pengcheng Yuan , Jing Zhao

引用次数: 0