Multimodal Transportation最新文献

{"title":"How realistic a bicycle simulator can be? - A validation study","authors":"Amira Hammami,&nbsp;Attila Borsos,&nbsp;Ágoston Pál Sándor","doi":"10.1016/j.multra.2025.100193","DOIUrl":"10.1016/j.multra.2025.100193","url":null,"abstract":"<div><div>The aim of this research is to objectively and subjectively validate the virtual reality Bicycle Simulator (BS) developed using off-the-shelf components at the University of Győr, Hungary.</div><div>To this end, this research compares the performance of 32 participants in two real-world environments (Site 1: separated bicycle-pedestrian path and Site 2: advisory bicycle lane) and in their replication in virtual reality (VR). The objective measures collected for the comparison include speed and Cumulative Lateral Position (CLP), whereas subjective measures include the Perceived Level of Realism (PLR) based on participants’ self-reported perceptions in a post-experiment questionnaire. PLR is a new indicator that we propose using subjects' perceptions of speed, BS control, and VR representation. The combination of these subjective and objective measures is proposed as the Degree of Realism (DR) to standardise the classification of the realism level of a bicycle simulator.</div><div>Subjectively, the results indicate that the BS provides a high level of safety and comfort for conducting such research. Subject characteristics have no significant influence on VR sickness scores or Perceived Level of Realism. Objectively, for both speed and CLP, we found no significant difference between on-site and the simulation measurements in the case of Site 1, but otherwise for Site 2. However, subjects were not able to accurately perceive either the actual or the relative differences.</div><div>In conclusion, our bicycle simulator is a safe and comfortable traffic safety research tool that needs further improvement. The proposed preliminary concept of the degree of realism requires further investigation.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 1","pages":"Article 100193"},"PeriodicalIF":0.0,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the non-linear influence of the built environment on passengers’ travel distance within metro and bus networks using smart card data","authors":"Yang Liu,&nbsp;Donglin He,&nbsp;Jiayou Lei,&nbsp;Mingwei He,&nbsp;Zhuangbin Shi","doi":"10.1016/j.multra.2025.100188","DOIUrl":"10.1016/j.multra.2025.100188","url":null,"abstract":"<div><div>Understanding the travel behavior of transit passengers and its influencing factors is crucial for promoting transit use and alleviating urban traffic congestion. However, limited studies have examined the determinants of spatial expansion in multimodal public transportation and overlooked the nonlinear influence between variables. To address these gaps, this study employs the travel distance indicator to portray the spatial expansion of transit passengers. Using smart card data collected from Beijing, China, we propose a comprehensive trip chain extraction method within the metro and bus network, considering transfer behaviors. From the extracted trip chain data, we calculate travel distances and observe significant variations across different transit networks: an average travel distance of 8.09 km in the bus network, 14.93 km in the metro network, and 23.10 km in the integrated network. Further, we explore the non-linear relationship between transit travel distance and the built environment by employing a Gradient Boosting Regression Tree (GBRT) model. The finding reveals that the built environment exerts the most significant influence on travel distance (46.80 %), particularly regarding the distance to the nearest metro station and the central business district (CBD). Additionally, all variables exhibit non-linear effects on travel distance, with many exhibiting relevance only within specific ranges. For instance, there is a noticeable decline in travel distance when the bus stop density falls within the range of 15 units/km² and the bus coverage rate within a range of 0.8. Beyond these threshold values, the decline in travel distance becomes gradual. These findings emphasize the significance of considering non-linear relationships and threshold effects in transit and urban planning. Finally, this study provides practicable recommendations regarding non-linearities for the government that could be beneficial in promoting transit usage.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 1","pages":"Article 100188"},"PeriodicalIF":0.0,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental determination of factors causing crashes involving automated vehicles","authors":"Teshome Kumsa Kurse ,&nbsp;Girma Gebresenbet ,&nbsp;Geleta Fikadu Daba ,&nbsp;Negasa Tesfaye Tefera","doi":"10.1016/j.multra.2024.100186","DOIUrl":"10.1016/j.multra.2024.100186","url":null,"abstract":"<div><div>Emergence of technologies to replace human action is occurring in many sectors, with autonomous vehicles being a leading example. Autonomous vehicles do not require human interaction and instead employ various devices to perform essential operations. This paper assesses factors which cause autonomous vehicles to suffer crashes, using field data collected by the Californian Department of Motor Vehicles. Data on these highly automated vehicles (AVs) were clustered based on degree and direction of impact, and analyzed by coding in Excel and RStudio programming. A novel feature of the work is that all clustering, analysis, application of association rules, and determination of degrees of severity of crashes were done by RStudio programming and that the direction of autonomous vehicles impacts was identified based on field data. Our analysis reveals that weather conditions, maneuvering, road conditions, and lighting are major factors in autonomous vehicles crashes. Rear-end crash and minor scratches to autonomous vehicles are the most frequent forms of damage, based on the available data. This study underscores the critical need for enhanced sensor technologies and improved algorithms to better handle adverse weather conditions, complex maneuvers, and varying road and lighting conditions. By identifying the most frequent types of damage, such as rear-end crashes and minor scratches, this research provides valuable insights for manufacturers and policymakers aiming to improve the safety and reliability of autonomous vehicles. The findings can inform future design improvements and regulatory measures, ultimately contributing to the reduction of crash rates and the advancement of autonomous vehicle technology.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 1","pages":"Article 100186"},"PeriodicalIF":0.0,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the driver's stress level while driving in Truck Platooning","authors":"Paolo Gandini,&nbsp;Luca Studer,&nbsp;Marta Zecchini,&nbsp;Marco Ponti","doi":"10.1016/j.multra.2024.100185","DOIUrl":"10.1016/j.multra.2024.100185","url":null,"abstract":"<div><div>The logistic is interested by changes and truck manufacturers are investing in solutions such as truck platooning. This system leads to benefits (fuel consumption, safety, traffic efficiency). The paper presents the analysis of the psychophysical state of drivers during real tests in truck platooning. The peaks in the LF/HF (Low Frequency/High Frequency) parameter are considered, as they are linked to feelings of discomfort. Their occurrence may indicate whether the psychophysical state of the drivers is influenced by the different phases of driving in platoon. A method is defined to monitor and process the HRV (Heart Rate Variability) physiological parameter and the LF/HF ratio, based on the use of commercial smartwatches. An experimental activity, part of the European project C-Roads, allowed the collection of the physiological parameters of drivers and of the data featuring the vehicles in platoon. In general, the correlation between the two data sets revealed that drivers were not negatively affected by driving in platoon. The monitoring of the Follower driver, compared to the Leader, showed a higher level of stress. Peaks in the LF/HF parameter (i.e. high levels of stress) were associated in the 85 % of the cases to punctual situations that were expected to be stressful. Further possible applications of the method are presented, such as the investigation of the C-ITS impacts on the drivers.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 1","pages":"Article 100185"},"PeriodicalIF":0.0,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The roadmap and strategy for prioritizing the development of public transport in China","authors":"Jing Wang ,&nbsp;Changjian Liu ,&nbsp;Zhouhao Wu ,&nbsp;Rufeng Liao ,&nbsp;Gengze Li ,&nbsp;Huapu Lu","doi":"10.1016/j.multra.2024.100184","DOIUrl":"10.1016/j.multra.2024.100184","url":null,"abstract":"<div><div>With the acceleration of urbanization and continuous population growth in China, transportation issues in central cities, especially large and mega-cities, have become increasingly prominent. A series of problems such as economic efficiency decline and reduced residents' well-being caused by traffic congestion have become significant factors constraining the sustainable development of cities. As a core component of the urban transportation system, the prioritized development of urban public transportation is crucial for alleviating traffic congestion, improving environmental quality, and enhancing residents' quality of life. However, from the beginning of 2023, the share of public transportation in residents' travel has gradually decreased, with the total passenger volume still lower than the same period in 2019. In response to the challenges faced by the public transportation system under the new circumstances, this paper reviews the necessity of prioritized development of urban public transportation, analyzes the reasons for the decline in the share of public transportation in residents' overall travel modes, and proposes targeted suggestions. On this basis, the paper explores the intrinsic connection between the strategy of prioritizing public transportation development and sustainable urban development.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 1","pages":"Article 100184"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Challenges in transport modelling and planning","authors":"Juan de Dios Ortúzar","doi":"10.1016/j.multra.2024.100183","DOIUrl":"10.1016/j.multra.2024.100183","url":null,"abstract":"","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 1","pages":"Article 100183"},"PeriodicalIF":0.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Indian SUMO traffic scenario-based misbehaviour detection dataset for connected vehicles","authors":"Umesh Bodkhe ,&nbsp;Sudeep Tanwar","doi":"10.1016/j.multra.2024.100148","DOIUrl":"10.1016/j.multra.2024.100148","url":null,"abstract":"<div><div>The Internet of Vehicles (IoV) plays a crucial role in intelligent transportation systems (ITS) by enabling communication between interconnected vehicles and supporting infrastructure. Connected vehicles utilize basic safety messages (BSMs) to exchange kinematic data, such as vehicle acceleration, velocity, position, and direction, with neighbouring nodes in the ITS network to enhance road safety. However, these BSMs are susceptible to various security attacks, which disrupt the collaborative functionality of ITS, potentially resulting in accidents or traffic congestion. The scientific community has proposed numerous security mechanisms to protect BSMs. The majority of these assessments have been conducted utilizing either the vehicular reference misbehaviour (VeReMi) dataset or the VeReMi extension dataset. These datasets are specifically designed for the Luxembourg SUMO Traffic (LuST) scenario and are suitable for only evaluating misbehaviour detection methods within a European ITS context. However, there is a notable scarcity of publicly accessible misbehaviour datasets that faithfully depict Indian ITS scenarios. To overcome this limitation, we introduce a new scenario, i.e., the Ahmedabad SUMO Traffic (AhmST) scenario, based on the city of Ahmedabad in Gujarat, India. Moreover, we also introduce the Indian dataset for misbehaviour analysis (AhmST). The proposed dataset includes cases of false data injections affecting the vehicle position, heading, and speed information within BSMs. Finally, we compare the AhmST dataset with recent datasets, assess the proposed dataset using various machine learning techniques and present an optimized model with improved accuracy.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 1","pages":"Article 100148"},"PeriodicalIF":0.0,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of e-bikes in public transportation based on their impact, importance, and challenges: A systematic review","authors":"Isaac Oyeyemi Olayode ,&nbsp;Elmira Jamei ,&nbsp;Frimpong Justice Alex","doi":"10.1016/j.multra.2024.100182","DOIUrl":"10.1016/j.multra.2024.100182","url":null,"abstract":"<div><div>In recent years, the integration of e-bikes into public transport systems has received considerable attention, primarily because of their capacity to address environmental issues and enhance urban mobility. Studying the integration of e-bikes into public transit is significant, as they can potentially decrease greenhouse gas emissions, improve air quality, and offer a more cost-effective and accessible means of transportation for both pedestrians and motorists. Previous studies have investigated the advantages and difficulties associated with integrating e-bikes into public transportation systems. However, little attention has been paid to the impact of e-bikes on urban mobility and potential strategies that can be explored or implemented to effectively integrate e-bikes into public transportation. This systematic review filled this research gap. The research methodology used in this systematic review consist of a review of the existing literature from Scopus and Web of Science using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. This systematic review strengthens our understanding of e-bikes and their integration into public transportation. This study will also assist transportation researchers and urban planners in comprehending the fundamental and theoretical frameworks of the challenges and solutions related to e-bikes in public transportation.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"4 1","pages":"Article 100182"},"PeriodicalIF":0.0,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship between urban traffic crashes and temporal/meteorological conditions: understanding and predicting the effects","authors":"Xiao Tang,&nbsp;Zihan Liu,&nbsp;Zhenlin Wei","doi":"10.1016/j.multra.2024.100175","DOIUrl":"10.1016/j.multra.2024.100175","url":null,"abstract":"<div><div>Urban traffic accidents pose significant challenges to public safety and transportation management. Previous studies have revealed that temporal and meteorological factors are the key contributors to accident rate. Besides the inconsistent observations or lack of exploration in some aspects such as snowfall, fog, wind and daily temperatures, it has been shown that these factors are essentially entangled. Furthermore, existing methodologies of analysis or prediction have been limited to relative risk or traditional models. Hence, this study is centered on understanding the detailed correlations between temporal and meteorological factors and accident rate of two types of crashes – moving vehicle and fixed-object crashes using the traffic accident data from Dalian. Further, by incorporating a diverse set of the features, a prediction model leveraging the random forest algorithm is proposed and proved effective in anticipating accident occurrences on the district level. The feature importance analysis has shown that time period and factors such as holiday, temperature and season are most important factors. The rate is higher on working days and in spring, and collisions of both types peak at 6–7 am. When the highest daily temperature is 27 °C and the lowest is 20 °C or -8 °C, the incidence is relatively higher. On the basis, the recommendations are aimed at optimizing transportation systems, mitigating accident risks, and enhancing public safety in urban environments.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"3 4","pages":"Article 100175"},"PeriodicalIF":0.0,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142551885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An assignment-based decomposition approach for the vehicle routing problem with backhauls","authors":"Irandokht Parviziomran,&nbsp;Monireh Mahmoudi","doi":"10.1016/j.multra.2024.100174","DOIUrl":"10.1016/j.multra.2024.100174","url":null,"abstract":"<div><div>In the context of the Vehicle Routing Problem with Backhauls, which involves delivering to linehaul and picking up from backhaul customers, we propose a novel mathematical model that can decompose the main problem into three sub-problems: two Open Vehicle Routing Problems and one Assignment Problem. In our proposed model, Open Vehicle Routing Problems optimize routes for homogeneous vehicles serving linehaul/backhaul customers, while the Assignment Problem matches linehaul and backhaul routes. We utilize Lagrangian decomposition approach and solve subproblems in parallel and sequential layouts. We measure the performance of the foregoing arrangements (in terms of solution quality and computational efficiency) by testing our model on two benchmark datasets, proposed by Goetschalckx and Jacobs-Blecha (1989) and Toth and Vigo (1997) and are known as GJ and TV datasets in the extant literature, respectively. Our model matches best known solutions in 35 % and 33 %, with most within 2 % deviation, for GJ and TV instances, respectively. We also showcase our model on a real-world transportation network containing 100, 250, and 500 customers and geographically located in Lansing, Michigan. To reduce the computational burden of solving the Vehicle Routing Problem with Backhauls on the Lansing dataset, we present a cluster first-route second algorithm and then analyze the impact of vehicle capacity on the solution quality of our proposed algorithm.</div></div>","PeriodicalId":100933,"journal":{"name":"Multimodal Transportation","volume":"3 4","pages":"Article 100174"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142529676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}