Pub Date : 2022-11-16DOI: 10.1080/21680566.2022.2145385
X. Lei
A high speed train-track coupling system vertical dynamics model is established by considering the nonlinear wheel-rail contact, and the cross iteration method for solving the train-track nonlinear coupling system dynamics equations is proposed. Four kinds of track irregularities, i.e. the smooth track, the track random irregularity, the short-wave irregularity, and the combined track random irregularity and short-wavelength irregularity, on the vibration responses of the train and the track are analyzed with this model. The calculated results show that the vehicle and the bogie passing frequencies are the main excitation sources of the track vibration displacement and velocity, whereas the short-wave irregularity is the main excitation source of the track vibration acceleration. The track random irregularity, the short-wave irregularity and the sleeper spacing have great influence on the wheel-rail force, and the wheelset and the bogie vibration acceleration, while the car-body vibration acceleration is mainly affected by the track random irregularity.
{"title":"Analysis of the influence of the track vertical profile irregularity on the vibration of the vehicle and the track under high speed moving train","authors":"X. Lei","doi":"10.1080/21680566.2022.2145385","DOIUrl":"https://doi.org/10.1080/21680566.2022.2145385","url":null,"abstract":"A high speed train-track coupling system vertical dynamics model is established by considering the nonlinear wheel-rail contact, and the cross iteration method for solving the train-track nonlinear coupling system dynamics equations is proposed. Four kinds of track irregularities, i.e. the smooth track, the track random irregularity, the short-wave irregularity, and the combined track random irregularity and short-wavelength irregularity, on the vibration responses of the train and the track are analyzed with this model. The calculated results show that the vehicle and the bogie passing frequencies are the main excitation sources of the track vibration displacement and velocity, whereas the short-wave irregularity is the main excitation source of the track vibration acceleration. The track random irregularity, the short-wave irregularity and the sleeper spacing have great influence on the wheel-rail force, and the wheelset and the bogie vibration acceleration, while the car-body vibration acceleration is mainly affected by the track random irregularity.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43809608","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}
Pub Date : 2022-11-16DOI: 10.1080/21680566.2022.2146022
Liangze Yang, Chi-Wang Shu, S. C. Wong, Mengping Zhang, Jie Du
This study addresses the existence and uniqueness of solutions to the Hoogendoorn–Bovy (HB) pedestrian flow model, which describes the dynamic user-optimal pedestrian flow assignment problem in continuous space and time. The HB model consists of a forward conservation law (CL) equation that governs density and a backward Hamilton–Jacobi–Bellman (HJB) equation that contains a maximum admissible speed constraint (MASC), in which the flow direction is determined by the path-choice strategy. The existence and uniqueness of solutions are significantly more difficult to determine when the HJB equation contains an MASC; however, we prove that the HB model can be formulated as a forward CL equation and backward Hamilton–Jacobi (HJ) equation in which the MASC is non-binding if suitable model parameters are selected. This model is formulated as a fixed-point problem upon the simultaneous satisfaction of both equations. To verify the existence and uniqueness results, we first demonstrate the existence and uniqueness of the solutions to the CL and HJ equations, and then show that the coupled HB model is well-posed and has a unique solution. A numerical example is presented to illustrate the properties of the HB model.
{"title":"On the existence and uniqueness properties of the Hoogendoorn–Bovy pedestrian flow model","authors":"Liangze Yang, Chi-Wang Shu, S. C. Wong, Mengping Zhang, Jie Du","doi":"10.1080/21680566.2022.2146022","DOIUrl":"https://doi.org/10.1080/21680566.2022.2146022","url":null,"abstract":"This study addresses the existence and uniqueness of solutions to the Hoogendoorn–Bovy (HB) pedestrian flow model, which describes the dynamic user-optimal pedestrian flow assignment problem in continuous space and time. The HB model consists of a forward conservation law (CL) equation that governs density and a backward Hamilton–Jacobi–Bellman (HJB) equation that contains a maximum admissible speed constraint (MASC), in which the flow direction is determined by the path-choice strategy. The existence and uniqueness of solutions are significantly more difficult to determine when the HJB equation contains an MASC; however, we prove that the HB model can be formulated as a forward CL equation and backward Hamilton–Jacobi (HJ) equation in which the MASC is non-binding if suitable model parameters are selected. This model is formulated as a fixed-point problem upon the simultaneous satisfaction of both equations. To verify the existence and uniqueness results, we first demonstrate the existence and uniqueness of the solutions to the CL and HJ equations, and then show that the coupled HB model is well-posed and has a unique solution. A numerical example is presented to illustrate the properties of the HB model.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45543462","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}
Pub Date : 2022-11-11DOI: 10.1080/21680566.2022.2141911
Passant Reyad, T. Sayed
ABSTRACT Adaptive Traffic Signal Control (ATSC) is becoming a popular dynamic traffic management technique, especially with the emerging connected vehicles (CVs) technology. ATSC algorithms have been extensively considered in the literature for enhancing traffic mobility at signalized intersections. However, improving safety has rarely been used as an objective in existing ATSC algorithms. To fill this gap, this paper proposes a multi-criteria reinforcement learning based ATSC algorithm with two optimization objectives: real-time safety and mobility. The algorithm was trained on both objectives using traffic simulation. The safety objective was considered using extreme value theory (EVT) real-time crash risk evaluation models. Reducing the total intersection delay was the mobility objective. Different weights were considered in the training to account for both objectives simultaneously. The performance of the trained algorithm was then validated using real-world video data. Results show that the proposed multi-objective algorithm can improve both safety and mobility even under lower weights.
{"title":"Real-Time multi-objective optimization of safety and mobility at signalized intersections","authors":"Passant Reyad, T. Sayed","doi":"10.1080/21680566.2022.2141911","DOIUrl":"https://doi.org/10.1080/21680566.2022.2141911","url":null,"abstract":"ABSTRACT Adaptive Traffic Signal Control (ATSC) is becoming a popular dynamic traffic management technique, especially with the emerging connected vehicles (CVs) technology. ATSC algorithms have been extensively considered in the literature for enhancing traffic mobility at signalized intersections. However, improving safety has rarely been used as an objective in existing ATSC algorithms. To fill this gap, this paper proposes a multi-criteria reinforcement learning based ATSC algorithm with two optimization objectives: real-time safety and mobility. The algorithm was trained on both objectives using traffic simulation. The safety objective was considered using extreme value theory (EVT) real-time crash risk evaluation models. Reducing the total intersection delay was the mobility objective. Different weights were considered in the training to account for both objectives simultaneously. The performance of the trained algorithm was then validated using real-world video data. Results show that the proposed multi-objective algorithm can improve both safety and mobility even under lower weights.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44737168","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}
Pub Date : 2022-11-10DOI: 10.1080/21680566.2022.2143453
Yuan Zhang, Qixiu Cheng, Y. Liu, Zhiyuan Liu
The full-scale spatio-temporal traffic flow estimation/prediction has always been a hot spot in transportation engineering. The low coverage rate of detectors in transport networks brings difficulties to the city-wide traffic flow estimation/prediction. Moreover, it is difficult for traditional analytical traffic flow models to deal with the traffic flow estimation/prediction problem over urban transport networks in a complex environment. Current data-driven methods mainly focus on road segments with detectors. An instance-based transfer learning method is proposed to estimate network-wide traffic flows including road segments without detectors. Case studies based on simulation data and empirical data collected from the open-source PeMS database are conducted to verify its effectiveness. For the traffic flow estimation of segments without detectors, the mean absolute percentage error (MAPE) is approximately 11% for both datasets, which is superior to the existing methods in the literature and reduces MAPE by two percentage points.
{"title":"Full-scale spatio-temporal traffic flow estimation for city-wide networks: a transfer learning based approach","authors":"Yuan Zhang, Qixiu Cheng, Y. Liu, Zhiyuan Liu","doi":"10.1080/21680566.2022.2143453","DOIUrl":"https://doi.org/10.1080/21680566.2022.2143453","url":null,"abstract":"The full-scale spatio-temporal traffic flow estimation/prediction has always been a hot spot in transportation engineering. The low coverage rate of detectors in transport networks brings difficulties to the city-wide traffic flow estimation/prediction. Moreover, it is difficult for traditional analytical traffic flow models to deal with the traffic flow estimation/prediction problem over urban transport networks in a complex environment. Current data-driven methods mainly focus on road segments with detectors. An instance-based transfer learning method is proposed to estimate network-wide traffic flows including road segments without detectors. Case studies based on simulation data and empirical data collected from the open-source PeMS database are conducted to verify its effectiveness. For the traffic flow estimation of segments without detectors, the mean absolute percentage error (MAPE) is approximately 11% for both datasets, which is superior to the existing methods in the literature and reduces MAPE by two percentage points.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47339092","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}
Pub Date : 2022-10-21DOI: 10.1080/21680566.2022.2135633
Zhao Zhang, X. Jiao
Short-term traffic flow prediction is of great significance in intelligent transportation. In recent years, with the development of information collection technology and deep learning algorithms, neural network models have become increasingly popular in traffic flow prediction research. However, accurate and fast prediction is a challenge because of the uncertain feature of traffic flow and limitations of the model structure. Motivated by this issue, this paper uses a dual-branch grammar model to extract the deep spatio-temporal features of historical traffic information. Each branch combines the grammar structure with the gated convolution operation to realize the interaction between the implicit features of different traffic parameters. Moreover, scaled exponential linear units (Selu) are used as an activation function for gated convolution operation to enhance the convergence effect of network training. And then, a wide attention module is designed to weigh the extracted deep spatio-temporal features to increase the model's prediction accuracy with a slight increase in computational cost. Finally, actual traffic data from Caltrans Performance Measurement System (PeMS) is used to evaluate the prediction performance with the result that the proposed prediction method outperforms other methods in terms of prediction accuracy. In addition, this paper proves the Selu function's importance by analysing the training error's convergence effect and explains the role of wide attention in the prediction task through visualization and statistical analysis operations.
{"title":"A spatiotemporal grammar network model with wide attention for short-term traffic flow prediction","authors":"Zhao Zhang, X. Jiao","doi":"10.1080/21680566.2022.2135633","DOIUrl":"https://doi.org/10.1080/21680566.2022.2135633","url":null,"abstract":"Short-term traffic flow prediction is of great significance in intelligent transportation. In recent years, with the development of information collection technology and deep learning algorithms, neural network models have become increasingly popular in traffic flow prediction research. However, accurate and fast prediction is a challenge because of the uncertain feature of traffic flow and limitations of the model structure. Motivated by this issue, this paper uses a dual-branch grammar model to extract the deep spatio-temporal features of historical traffic information. Each branch combines the grammar structure with the gated convolution operation to realize the interaction between the implicit features of different traffic parameters. Moreover, scaled exponential linear units (Selu) are used as an activation function for gated convolution operation to enhance the convergence effect of network training. And then, a wide attention module is designed to weigh the extracted deep spatio-temporal features to increase the model's prediction accuracy with a slight increase in computational cost. Finally, actual traffic data from Caltrans Performance Measurement System (PeMS) is used to evaluate the prediction performance with the result that the proposed prediction method outperforms other methods in terms of prediction accuracy. In addition, this paper proves the Selu function's importance by analysing the training error's convergence effect and explains the role of wide attention in the prediction task through visualization and statistical analysis operations.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49540579","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}
Pub Date : 2022-10-20DOI: 10.1080/21680566.2022.2135634
A. Kamel, T. Sayed, Chuanyun Fu
This study proposes an approach for real-time road network safety analysis using autonomous vehicles (AVs) generated data. The approach utilises a Bayesian hierarchical spatial random parameter extreme value model (BHSRP). The model simultaneously addresses the scarcity and non-stationarity of conflict extremes and unobserved spatial heterogeneity. Two real-time safety metrics are estimated: the risk of crash (RC) and return level (RL). The RC and RL were applied to three months AVs data for evaluating the real-time safety level of an urban corridor in Palo Alto, California. The indicator time to collision (TTC) was used to characterise traffic conflicts. The conflict extreme was defined as the maxima of negated TTC in a 20-min interval (block). The results show that RC can differentiate the block-level risk level, while RL can reflect safety levels among blocks. For the RC, the hot (crash risk prone) segments and intersections are associated with more severe conflict frequency.
{"title":"Real-time safety analysis using autonomous vehicle data: a Bayesian hierarchical extreme value model","authors":"A. Kamel, T. Sayed, Chuanyun Fu","doi":"10.1080/21680566.2022.2135634","DOIUrl":"https://doi.org/10.1080/21680566.2022.2135634","url":null,"abstract":"This study proposes an approach for real-time road network safety analysis using autonomous vehicles (AVs) generated data. The approach utilises a Bayesian hierarchical spatial random parameter extreme value model (BHSRP). The model simultaneously addresses the scarcity and non-stationarity of conflict extremes and unobserved spatial heterogeneity. Two real-time safety metrics are estimated: the risk of crash (RC) and return level (RL). The RC and RL were applied to three months AVs data for evaluating the real-time safety level of an urban corridor in Palo Alto, California. The indicator time to collision (TTC) was used to characterise traffic conflicts. The conflict extreme was defined as the maxima of negated TTC in a 20-min interval (block). The results show that RC can differentiate the block-level risk level, while RL can reflect safety levels among blocks. For the RC, the hot (crash risk prone) segments and intersections are associated with more severe conflict frequency.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47539599","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}
Pub Date : 2022-10-06DOI: 10.1080/21680566.2022.2129857
Ziang Yao, Jan-Dirk Schmöcker
ABSTRACT The rapid growth of free-floating sharing services is seen as a key solution to urban mobility problems; however, the wider acceptance and adaptation is critically depending upon the ease of access. The aim of this research is to quantify the access distance to free-floating services considering the density and distribution of travellers and bicycles. Our main focus the effect of different information-seeking and reservation strategies on the travellers. We distinguish those who use smartphone actively during travelling from those who only check the availability before the journey. An agent-based discrete-event simulation (DES) is developed, from which we find that 1. All travellers being active in seeking feasible bicycles do not necessarily lead to better system performance. 2. Enabling reservations can lead to longer average travel times, especially longer walking time. 3. When increasing the bicycle supply or reservation rate, the reliability of accessing desired bicycles can first increase then drop.
{"title":"Access distance to free-floating services considering uncertain availability and smartphone activeness","authors":"Ziang Yao, Jan-Dirk Schmöcker","doi":"10.1080/21680566.2022.2129857","DOIUrl":"https://doi.org/10.1080/21680566.2022.2129857","url":null,"abstract":"ABSTRACT The rapid growth of free-floating sharing services is seen as a key solution to urban mobility problems; however, the wider acceptance and adaptation is critically depending upon the ease of access. The aim of this research is to quantify the access distance to free-floating services considering the density and distribution of travellers and bicycles. Our main focus the effect of different information-seeking and reservation strategies on the travellers. We distinguish those who use smartphone actively during travelling from those who only check the availability before the journey. An agent-based discrete-event simulation (DES) is developed, from which we find that 1. All travellers being active in seeking feasible bicycles do not necessarily lead to better system performance. 2. Enabling reservations can lead to longer average travel times, especially longer walking time. 3. When increasing the bicycle supply or reservation rate, the reliability of accessing desired bicycles can first increase then drop.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46843643","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}
Pub Date : 2022-09-30DOI: 10.1080/21680566.2022.2129856
Hao Fu, W. Lam, H. Ho, W. Ma
Due to the propagation of traffic congestion from upstream to downstream links and the uncertainty of path choice behaviours, travel times between different links, particularly adjacent links, are highly correlated in a typical period from day to day. To improve the estimation accuracy of both the mean and covariance of link travel times, a novel measurement is proposed to optimize the locations of multi-type traffic sensors for link travel time estimation. Multi-source data from different types of traffic sensors can be integrated to better estimate link travel time in an entire road network. In practice, the allocation of multi-type traffic sensors is constrained by the total financial budget and should be optimized in accordance with measurement errors and the cost ratio. Numerical examples of synthetic and real road networks are conducted to demonstrate the applications and merits of the proposed multi-type sensor location model with covariance effects.
{"title":"Optimization of multi-type traffic sensor locations for network-wide link travel time estimation with consideration of their covariance","authors":"Hao Fu, W. Lam, H. Ho, W. Ma","doi":"10.1080/21680566.2022.2129856","DOIUrl":"https://doi.org/10.1080/21680566.2022.2129856","url":null,"abstract":"Due to the propagation of traffic congestion from upstream to downstream links and the uncertainty of path choice behaviours, travel times between different links, particularly adjacent links, are highly correlated in a typical period from day to day. To improve the estimation accuracy of both the mean and covariance of link travel times, a novel measurement is proposed to optimize the locations of multi-type traffic sensors for link travel time estimation. Multi-source data from different types of traffic sensors can be integrated to better estimate link travel time in an entire road network. In practice, the allocation of multi-type traffic sensors is constrained by the total financial budget and should be optimized in accordance with measurement errors and the cost ratio. Numerical examples of synthetic and real road networks are conducted to demonstrate the applications and merits of the proposed multi-type sensor location model with covariance effects.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42645403","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}
With the rapid development of air transportation, the surface management of large airports has become more complicated. This paper proposes an integrated scheduling model of arrival aircraft (ISAA), in which complex constraints related to runway restrictions, gate assignment and taxiway conflicts are incorporated. With the aim of reducing the total passenger runway delay, passenger taxi delay, and passenger swap cost, the model is built as a set partition model. We propose various neighbourhood search (VNS) algorithm for solving the problem. A variable neighbourhood descent (VND) as local search is integrated into the general variable neighbourhood framework. This method is compared with a sequential method that solves runway sequencing, gate reassignment and taxiway scheduling problem separately. Numerical results based on Nanjing Lukou Internation Airport indicate that, although the swap cost for gate reassignment is slightly increased, the whole performance is significantly improved.
{"title":"Variable neighbourhood search for the integrated runway sequencing, taxiway scheduling, and gate reassignment problem","authors":"Yu Jiang, Zhenyu Liu, Zhitao Hu, Honghai Zhang, Cheng Xu","doi":"10.1080/21680566.2022.2127429","DOIUrl":"https://doi.org/10.1080/21680566.2022.2127429","url":null,"abstract":"With the rapid development of air transportation, the surface management of large airports has become more complicated. This paper proposes an integrated scheduling model of arrival aircraft (ISAA), in which complex constraints related to runway restrictions, gate assignment and taxiway conflicts are incorporated. With the aim of reducing the total passenger runway delay, passenger taxi delay, and passenger swap cost, the model is built as a set partition model. We propose various neighbourhood search (VNS) algorithm for solving the problem. A variable neighbourhood descent (VND) as local search is integrated into the general variable neighbourhood framework. This method is compared with a sequential method that solves runway sequencing, gate reassignment and taxiway scheduling problem separately. Numerical results based on Nanjing Lukou Internation Airport indicate that, although the swap cost for gate reassignment is slightly increased, the whole performance is significantly improved.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48811219","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}
Pub Date : 2022-09-22DOI: 10.1080/21680566.2022.2113476
Weijie Yu, Xuedong Hua, W. Wang
Cooperative adaptive cruise control (CACC) is regarded as a promising approach to improve traffic stability and capacity by operating vehicle-to-vehicle (V2V) communication. However, the beneficial effect of CACC vehicles is greatly reduced due to the influence of manually driven vehicles (MDVs) in the heterogeneous traffic flow, in which the degradation of CACC vehicles is a considerable problem. One proposed solution is to install communication devices for MDVs, called IMDVs, to propagate information to CACC vehicles and prevent the degradation. This study analyzed the traffic flow configuration by introducing IMDVs and considering multiple traffic flow operations, e.g. vehicle degradation and platoon formation. Then, multiple factors, including market penetration rate, platoon length, and information flow topology, were taken into consideration in the theoretical modelling of linear stability and fundamental diagram. Finally, we verified the high accuracy of theoretical analysis by numerical experiments and gave some reasonable recommendations for traffic management.
{"title":"Stability and capacity for heterogeneous traffic flow mixed with vehicles in multiple controls","authors":"Weijie Yu, Xuedong Hua, W. Wang","doi":"10.1080/21680566.2022.2113476","DOIUrl":"https://doi.org/10.1080/21680566.2022.2113476","url":null,"abstract":"Cooperative adaptive cruise control (CACC) is regarded as a promising approach to improve traffic stability and capacity by operating vehicle-to-vehicle (V2V) communication. However, the beneficial effect of CACC vehicles is greatly reduced due to the influence of manually driven vehicles (MDVs) in the heterogeneous traffic flow, in which the degradation of CACC vehicles is a considerable problem. One proposed solution is to install communication devices for MDVs, called IMDVs, to propagate information to CACC vehicles and prevent the degradation. This study analyzed the traffic flow configuration by introducing IMDVs and considering multiple traffic flow operations, e.g. vehicle degradation and platoon formation. Then, multiple factors, including market penetration rate, platoon length, and information flow topology, were taken into consideration in the theoretical modelling of linear stability and fundamental diagram. Finally, we verified the high accuracy of theoretical analysis by numerical experiments and gave some reasonable recommendations for traffic management.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48317810","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}
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