{"title":"Modelling changes in travel behaviour mechanisms through a high-order hidden Markov model","authors":"Zheng Zhu , Shanjiang Zhu , Lijun Sun , Atabak Mardan","doi":"10.1080/23249935.2022.2130731","DOIUrl":"10.1080/23249935.2022.2130731","url":null,"abstract":"<div><p>Integrating complicated travel behaviour mechanisms into transportation studies is necessary for understanding and modelling urban mobility. However, insufficient research has been conducted in this direction, especially when travellers make decisions using different mechanisms. This study develops a data-driven framework to model day-to-day route choice dynamics, in which different interpretable travel decision-making mechanisms and efficient model training algorithms are incorporated. The route choice is estimated following a Dirichlet distribution. By introducing a high-order hidden Markov state model, the framework can detect the routine and sudden changes of the mechanism and apply them accordingly for prediction. We propose a particle-based Markov chain Monte Carlo algorithm to estimate model parameters. As a pioneering work that links transportation data with different behaviour mechanisms, we demonstrate the feasibility of the proposed framework through a numerical example. With more transportation data, the proposed approach could become an attractive alternative to conventional transportation models.</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":"41250591","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}
{"title":"Optimising hierarchical emergency logistics network under ambiguous demand and transportation cost","authors":"Qi Wang, Yankui Liu, Hongliang Li","doi":"10.1080/23249935.2023.2299684","DOIUrl":"https://doi.org/10.1080/23249935.2023.2299684","url":null,"abstract":"This article studies the response problem of an emergency logistics network with a decision hierarchy relationship under uncertainty. To account for the partial distribution information about uncer...","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"21 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139083375","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}
Tanmay Das, Ishtiak Ahmed, Billy M. Williams, Nagui M. Rouphail
{"title":"Response time of mixed platoons with traditional and autonomous vehicles in field trials: impact assessment on flow stability and safety","authors":"Tanmay Das, Ishtiak Ahmed, Billy M. Williams, Nagui M. Rouphail","doi":"10.1080/23249935.2023.2298498","DOIUrl":"https://doi.org/10.1080/23249935.2023.2298498","url":null,"abstract":"This study investigates the response times of autonomous vehicles (AVs) equipped with adaptive cruise control (ACC) and traditional human-driven vehicles (TVs) in mixed traffic scenarios. The prima...","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"100 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139083699","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}
{"title":"Planning delivery-by-drone micro-fulfilment centres","authors":"J. S. Lamb , S. C. Wirasinghe , N. M. Waters","doi":"10.1080/23249935.2022.2107729","DOIUrl":"10.1080/23249935.2022.2107729","url":null,"abstract":"<div><p>Delivery drones are a disruptive technology that is spurring logistics system change, such as the adoption of urban micro-fulfilment centres (MFCs). In this paper, we develop and implement a two-stage continuum approximation (CA) model of this disruptive system in a geographic information system. The model includes common CA techniques at a local level to minimise cost, and then these local solutions are used in a second stage regional location-allocation multiple knapsack problem. We then compare the drone MFC system to a traditional delivery-by-van system and investigate potential cost or emissions savings by adjusting time-window demand, logistical sprawl, electric van alternatives, and MFC emissions. Furthermore, we conduct a sensitivity analysis to show that uncertainty in demand and effective storage density both significantly influence the number of MFCs selected and benchmark our model against commercial solvers. This methodology may also be further developed and applied to other new delivery vehicle modes.</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":"42274362","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}
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}
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}
Francisco Antunes , Marco Amorim , Francisco Pereira , Bernardete Ribeiro
{"title":"Active learning metamodelling for survival rate analysis of simulated emergency medical systems","authors":"Francisco Antunes , Marco Amorim , Francisco Pereira , Bernardete Ribeiro","doi":"10.1080/23249935.2022.2046203","DOIUrl":"10.1080/23249935.2022.2046203","url":null,"abstract":"<div><p>Emergency Medical Services (EMS) constitute a crucial pillar of today's cities by providing urgent medical responses to their citizens. Their study is often conducted via simulation, as the assessment of planning decisions is generally unfeasible in the existing systems. However, such models can become computationally expensive to run. Thus, metamodels can be used to approximate the simulation results.</p></div><div><p>In this work, a simulation metamodelling strategy supported on an active learning scheme is proposed to analyse the survival rate of a simulated EMS. The exploration process is guided through a series of grids towards simulation input regions whose output results match a specific survival rate defined a priori. This provides an efficient way of exploring the search space by channelling the computational effort to the most important input values, supporting the advantages of these methodologies in the EMS field, where their application is still seldom to the best of our knowledge.</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":"47613593","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}
{"title":"Effects of second-best tradable credit scheme on transportation network for travel mobility management","authors":"Jiajian Chai , Guangmin Wang , Meng Xu , Ziyou Gao","doi":"10.1080/23249935.2022.2124894","DOIUrl":"10.1080/23249935.2022.2124894","url":null,"abstract":"<div><p>The second-best tradable credit scheme is studied to analyse its effects on travel mobility by a bilevel programming model. The transport authority optimises the credit charging scheme to minimise the total system travel time and travellers choose paths to minimise their generalised travel costs. A genetic algorithm with some improvements on the selection operator is used to solve the proposed bilevel programming model. In numerical experiments, we discuss the implications of travellers’ path choice behaviour and traffic flow distribution under the second-best tradable credit scheme with different combinations of credit-charging links. The results show that the credit charging scheme with all links is obviously better than other schemes in the total system travel time. Besides, the credit charging scheme using congested links or duplicate links of the maximum traffic flow path as credit-charging links is effective in reducing traffic flow on congested links and mitigating the congestion of the whole transportation network.</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":"43439467","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}
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}
Huey-Kuo Chen , Hsiao-Ching Ho , Luo-Yu Wu , Ian Lee , Huey-Wen Chou
{"title":"Two-stage procedure for transportation mode detection based on sighting data","authors":"Huey-Kuo Chen , Hsiao-Ching Ho , Luo-Yu Wu , Ian Lee , Huey-Wen Chou","doi":"10.1080/23249935.2022.2118558","DOIUrl":"10.1080/23249935.2022.2118558","url":null,"abstract":"<div><p>The data required for transportation applications can be retrieved from mobile phones without the necessity of additional infrastructure. Thus, we propose a procedure that involves two stages – data preprocessing and transportation mode detection – for detecting the transportation mode (i.e., car and bus) on the basis of sighting data. In the data preprocessing stage, two detection rules are used for eliminating oscillations that occur when a mobile phone intermittently switches between cell towers instead of connecting to the nearest cell tower. In the transportation mode detection stage, two supervised machine learning methods, namely support vector machine (SVM) and a deep neural network (DNN), are used to detect transportation modes. Experimental results indicated SVM achieved a higher accuracy (96.49%) in transport mode detection than did the DNN (69.65%) during peak hours. Moreover, travel time and starting time of a trip were identified as critical features affecting the accuracy of transportation mode detection.</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":"43261845","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}