Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231420
Wenzhou Jin, Jingxuan Ren, Weitiao Wu
Demand responsive feeder transit is a transportation mode providing transportation service between travel destinations or origins and hub stations. In order to exploit the flexibility of the demand responsive feeder transit system while maintaining its economy, this paper introduces travel freedom of requests in terms of range of service quality of potential trip predefined by requests while reserving the transportation service as part of the constraints to the demand responsive feeder transit systems. The reserved service quality includes the range of satisfactory and acceptable qualities, where transportation service with acceptable quality is only accepted with certain discount. The service quality is represented as a metric called detour coefficient, which is the proportion of the trip time according to the vehicle schedules to the direct driving time between the travel origin and destination of a request. An optimization model for scheduling the proposed system is formulated followed by the development of a customized simulated annealing solution approach based on the characteristics of the proposed problem. The solution method is verified and validated through computational experiment on a randomly generated instance.
{"title":"Demand Responsive Feeder Transit Scheduling with Flexible Service Quality","authors":"Wenzhou Jin, Jingxuan Ren, Weitiao Wu","doi":"10.1109/ICITE50838.2020.9231420","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231420","url":null,"abstract":"Demand responsive feeder transit is a transportation mode providing transportation service between travel destinations or origins and hub stations. In order to exploit the flexibility of the demand responsive feeder transit system while maintaining its economy, this paper introduces travel freedom of requests in terms of range of service quality of potential trip predefined by requests while reserving the transportation service as part of the constraints to the demand responsive feeder transit systems. The reserved service quality includes the range of satisfactory and acceptable qualities, where transportation service with acceptable quality is only accepted with certain discount. The service quality is represented as a metric called detour coefficient, which is the proportion of the trip time according to the vehicle schedules to the direct driving time between the travel origin and destination of a request. An optimization model for scheduling the proposed system is formulated followed by the development of a customized simulated annealing solution approach based on the characteristics of the proposed problem. The solution method is verified and validated through computational experiment on a randomly generated instance.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133317224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231427
Zhiwei Gao, Desheng Li, Li Xie
As an auxiliary braking device, the eddy current retarder (ECR) has been widely used in heavy vehicles and can effectively protect the friction braking system. In order to solve the problem of articulated vehicle stability, an eddy current retarder axle (ECRA) is designed by integrating the ECR and the axle, which directly brakes the trailer. In order to increase the braking stability of the articulated vehicle, the differential braking characteristics of the ECRA is studied, and the vehicle body status is maintained through reasonable differential braking control (DBC). In this paper, the differential braking performance curve of the ECRA is studied, the mathematical model of the articulated vehicle is established. The experimental data of ECRA combined with the Sinmulik-TruckSim co-simulation method, the differential braking effect of the ECRA on the vehicle is analyzed, the stability of the vehicle is further studied.
{"title":"Study on the Differential Braking of an Eddy Current Retarder Axle Used for Articulated Vehicles","authors":"Zhiwei Gao, Desheng Li, Li Xie","doi":"10.1109/ICITE50838.2020.9231427","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231427","url":null,"abstract":"As an auxiliary braking device, the eddy current retarder (ECR) has been widely used in heavy vehicles and can effectively protect the friction braking system. In order to solve the problem of articulated vehicle stability, an eddy current retarder axle (ECRA) is designed by integrating the ECR and the axle, which directly brakes the trailer. In order to increase the braking stability of the articulated vehicle, the differential braking characteristics of the ECRA is studied, and the vehicle body status is maintained through reasonable differential braking control (DBC). In this paper, the differential braking performance curve of the ECRA is studied, the mathematical model of the articulated vehicle is established. The experimental data of ECRA combined with the Sinmulik-TruckSim co-simulation method, the differential braking effect of the ECRA on the vehicle is analyzed, the stability of the vehicle is further studied.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133141888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Accurate and efficient traffic conditions forecasting is a significant challenge in Intelligent Transportation System (ITS) applications. The conditions can be characterized by traffic speed. To forecast the traffic conditions accurately, we propose a novel attention-based GCN-GRU hybrid model named AGG which can capture the spatial and temporal features of traffic speed simultaneously. In this model, the Graph Convolutional Network (GCN) captures the topological features for modeling spatial correlations. The Gated Recurrent Unit (GRU) captures the temporal features for modeling temporal correlations. The attention mechanism is used to assign weights to features according to the degree of importance of speed data, further improving model's forecasting precision. Then the experiments in real-world traffic speed data reveal that the AGG model can efficiently capture the spatial and temporal features of traffic speed and realize the precise forecasting of traffic conditions.
{"title":"An Attention-based Approach for Traffic Conditions Forecasting Considering Spatial-Temporal Features","authors":"Lu Tao, Yuanli Gu, Wenqi Lu, X. Rui, Tian Zhou, Ying Ding","doi":"10.1109/ICITE50838.2020.9231367","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231367","url":null,"abstract":"Accurate and efficient traffic conditions forecasting is a significant challenge in Intelligent Transportation System (ITS) applications. The conditions can be characterized by traffic speed. To forecast the traffic conditions accurately, we propose a novel attention-based GCN-GRU hybrid model named AGG which can capture the spatial and temporal features of traffic speed simultaneously. In this model, the Graph Convolutional Network (GCN) captures the topological features for modeling spatial correlations. The Gated Recurrent Unit (GRU) captures the temporal features for modeling temporal correlations. The attention mechanism is used to assign weights to features according to the degree of importance of speed data, further improving model's forecasting precision. Then the experiments in real-world traffic speed data reveal that the AGG model can efficiently capture the spatial and temporal features of traffic speed and realize the precise forecasting of traffic conditions.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121801916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231362
Aijun Liu, Zhujun Ling, Zaifu Zhou
This paper analyzes the current situation of urban rail transit operation and scheduling, expounds the method of passenger flow statistics and early warning, studies the methods and strategies for automatically adjusting the operation plan, and studies the intelligent scheduling technology of urban rail transit. Combined with actual project application, the usability of the method is described, and the actual operation effect is shown.
{"title":"Research on Intelligent Dispatching Technology of Rail Transit","authors":"Aijun Liu, Zhujun Ling, Zaifu Zhou","doi":"10.1109/ICITE50838.2020.9231362","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231362","url":null,"abstract":"This paper analyzes the current situation of urban rail transit operation and scheduling, expounds the method of passenger flow statistics and early warning, studies the methods and strategies for automatically adjusting the operation plan, and studies the intelligent scheduling technology of urban rail transit. Combined with actual project application, the usability of the method is described, and the actual operation effect is shown.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129544937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231331
Shurong Li, Chong Wei, Ying Wang
Recently, automated vehicles have shown great potential in many driving scenarios, such as merging from on-ramp lanes to the highway. This paper proposed a ramp merging strategy for automated vehicles to merge from on-ramp lanes to the highway. According to the collected spatial and temporal data for vehicles, we first generate possible merging gap options. Then for different merging gap options, we use trajectory planning to determine the merging path and velocity profiles to help the vehicle merge with time-dependent longitude and latitude position references. Note that the optimized trajectory planning can be computed with high computational efficiency using QP (Quadratic Programming) model and can guarantee safety using the discretized space technique and linear collision-free constraints' construction. Finally, we select the best merging gap and corresponding planned trajectory with the minimum fuel consumption. The numerical experimental results show that the proposed model can select an environmentally friendly merging gap and plan a safe and comfort trajectory for the vehicle. Also, the results show that the controlled vehicle can enter the main lane with little speed difference, which suggests that the proposed model can avoid speed oscillation caused by merging behavior and increase traffic efficiency. It is hoped that this study can facilitate real-time computation and guarantee the safety and efficiency of the trajectory planning process for merging automated vehicles.
{"title":"A Ramp Merging Strategy for Automated Vehicles Considering Vehicle Longitudinal and Latitudinal Dynamics","authors":"Shurong Li, Chong Wei, Ying Wang","doi":"10.1109/ICITE50838.2020.9231331","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231331","url":null,"abstract":"Recently, automated vehicles have shown great potential in many driving scenarios, such as merging from on-ramp lanes to the highway. This paper proposed a ramp merging strategy for automated vehicles to merge from on-ramp lanes to the highway. According to the collected spatial and temporal data for vehicles, we first generate possible merging gap options. Then for different merging gap options, we use trajectory planning to determine the merging path and velocity profiles to help the vehicle merge with time-dependent longitude and latitude position references. Note that the optimized trajectory planning can be computed with high computational efficiency using QP (Quadratic Programming) model and can guarantee safety using the discretized space technique and linear collision-free constraints' construction. Finally, we select the best merging gap and corresponding planned trajectory with the minimum fuel consumption. The numerical experimental results show that the proposed model can select an environmentally friendly merging gap and plan a safe and comfort trajectory for the vehicle. Also, the results show that the controlled vehicle can enter the main lane with little speed difference, which suggests that the proposed model can avoid speed oscillation caused by merging behavior and increase traffic efficiency. It is hoped that this study can facilitate real-time computation and guarantee the safety and efficiency of the trajectory planning process for merging automated vehicles.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128896263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231321
Tiandong Xu, Yuan Hao, Li-Zheng Zhou, Xinshuo Xu
As current Tianjin railway hub can neither share the pressure of Beijing hub, nor support the development of Tianjin “two-city pattern” (i.e., the Central City and the Binhai New Area), enhancing the function of Tianjin hub has become a urgent requirement for the development of the Beijing-Tianjin-Hebei Urban Agglomeration. Firstly, the development status of Tianjin hub is analyzed from national level, regional level and Tianjin “two-city” level. Secondly, from the angle of building a world-class urban agglomeration and the optimization of the spatial layout of Tianjin, the requirements for the optimization of Tianjin passenger transport hub are analyzed. Finally, a general idea of optimizing the function of Tianjin railway hub from two aspects, i.e., national hub and regional hub is put forward, improvement strategies of national railway hub and regional railway hub are studied, and some suggestions on air-rail combined transportation in Tianjin Binhai International Airport are put forward.
{"title":"Optimization Strategy of Tianjin Passenger Transport Hub under the Collaborative Development of Beijing, Tianjin Municipalities and Hebei Province","authors":"Tiandong Xu, Yuan Hao, Li-Zheng Zhou, Xinshuo Xu","doi":"10.1109/ICITE50838.2020.9231321","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231321","url":null,"abstract":"As current Tianjin railway hub can neither share the pressure of Beijing hub, nor support the development of Tianjin “two-city pattern” (i.e., the Central City and the Binhai New Area), enhancing the function of Tianjin hub has become a urgent requirement for the development of the Beijing-Tianjin-Hebei Urban Agglomeration. Firstly, the development status of Tianjin hub is analyzed from national level, regional level and Tianjin “two-city” level. Secondly, from the angle of building a world-class urban agglomeration and the optimization of the spatial layout of Tianjin, the requirements for the optimization of Tianjin passenger transport hub are analyzed. Finally, a general idea of optimizing the function of Tianjin railway hub from two aspects, i.e., national hub and regional hub is put forward, improvement strategies of national railway hub and regional railway hub are studied, and some suggestions on air-rail combined transportation in Tianjin Binhai International Airport are put forward.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117022536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231363
Zihan Yang, R. Song
Emergency supplies transportation is a key issue during the epidemic period of COVID-19. Considering the potential of high-speed passenger trains to carry time-sensitive goods, this paper studies the transport scheme design problem for emergency transportation to meet the demand in time limit. To address this problem, we develop a multi-commodity flow model based on feasible paths in a space-time network structure. And a modelling method is proposed for $k$ shortest paths generation. The proposed models consider the timeliness of emergency logistics and the characteristic of railway freight transportation. A numerical example is given to test this method. Results show that the model and method are effective and efficient.
{"title":"Transport Scheme Design for Emergency Supplies Carried by High-speed Passenger Trains","authors":"Zihan Yang, R. Song","doi":"10.1109/ICITE50838.2020.9231363","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231363","url":null,"abstract":"Emergency supplies transportation is a key issue during the epidemic period of COVID-19. Considering the potential of high-speed passenger trains to carry time-sensitive goods, this paper studies the transport scheme design problem for emergency transportation to meet the demand in time limit. To address this problem, we develop a multi-commodity flow model based on feasible paths in a space-time network structure. And a modelling method is proposed for $k$ shortest paths generation. The proposed models consider the timeliness of emergency logistics and the characteristic of railway freight transportation. A numerical example is given to test this method. Results show that the model and method are effective and efficient.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130872914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231444
Xiaojian Di, Jixiu Zhang, Baidan Li, Z. Xu
In view of the problems that inland waterway comprehensive information service faces with many kinds of users, difficult to capture due to diverse and variable service demands, this paper proposes an identification technology in the field of inland waterway intelligent information service. It carries out the user investigation of inland waterway information service demand and build an identification model to identify the most urgent information needs among crews, shipping companies, management departments/scientific research units and port enterprises, four types of user. On the basis of requirement identification, this research builds a cloud-based information service platform architecture for inland waterway. Technical solutions are proposed for IWaaS (Inland Waterway as a Service), PaaS (Platform as a Service), DaaS (Data as a Service) and IaaS (Infrastructure as a Service) layers. The method and application of intelligent information service demand identification of inland waterway is an effective approach to promote information service quality of inland waterway continuously.
{"title":"Research on the Method and Application of Intelligent Information Service Demand Identification of Inland Waterway","authors":"Xiaojian Di, Jixiu Zhang, Baidan Li, Z. Xu","doi":"10.1109/ICITE50838.2020.9231444","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231444","url":null,"abstract":"In view of the problems that inland waterway comprehensive information service faces with many kinds of users, difficult to capture due to diverse and variable service demands, this paper proposes an identification technology in the field of inland waterway intelligent information service. It carries out the user investigation of inland waterway information service demand and build an identification model to identify the most urgent information needs among crews, shipping companies, management departments/scientific research units and port enterprises, four types of user. On the basis of requirement identification, this research builds a cloud-based information service platform architecture for inland waterway. Technical solutions are proposed for IWaaS (Inland Waterway as a Service), PaaS (Platform as a Service), DaaS (Data as a Service) and IaaS (Infrastructure as a Service) layers. The method and application of intelligent information service demand identification of inland waterway is an effective approach to promote information service quality of inland waterway continuously.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"58 04","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113933589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231353
Lei Wang, Peng Wang, Jiandong Zhao
Toll stations are important facilities for highway transportation. There are many current charging methods, and traditional capacity calculations are based on a single charging method. As the service time of each charging method is different, the capacity of toll stations will be affected. Therefore, it is necessary to determine the capacity under a variety of charging methods. In this paper, a simulation model of toll station is established based on VISSIM simulation software, and then a simulation study is conducted on the lane capacity of various charging methods. The results show that the longer the service time, the lower the capacity of the charging method. The capacity of the lane using the mobile QR code is the smallest, and the higher the proportion of users who pay by the QR code, the smaller the lane capacity. The study provides a reference for the calculation of toll capacity.
{"title":"Simulation of Toll Lane Capacity of Highway Toll Station","authors":"Lei Wang, Peng Wang, Jiandong Zhao","doi":"10.1109/ICITE50838.2020.9231353","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231353","url":null,"abstract":"Toll stations are important facilities for highway transportation. There are many current charging methods, and traditional capacity calculations are based on a single charging method. As the service time of each charging method is different, the capacity of toll stations will be affected. Therefore, it is necessary to determine the capacity under a variety of charging methods. In this paper, a simulation model of toll station is established based on VISSIM simulation software, and then a simulation study is conducted on the lane capacity of various charging methods. The results show that the longer the service time, the lower the capacity of the charging method. The capacity of the lane using the mobile QR code is the smallest, and the higher the proportion of users who pay by the QR code, the smaller the lane capacity. The study provides a reference for the calculation of toll capacity.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117337592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/ICITE50838.2020.9231373
Jianghong Feng, Suxiu Xu, Ming Li
In recent years, due to the substantial increase in private car ownership and travel, the city's road traffic jams have become increasing intensified, and severely restrict the sustainable development of cities and society. Therefore, how to alleviate urban traffic congestion has attracted more and more attention. Since public transportation has the obvious advantage of low road resources per capita, many cities prioritize public transportation development strategies to alleviate urban traffic congestion. While buses are an important part of urban public transportation, it is essential to plan bus routes effectively and efficiently. Therefore, the main purpose of this study is to select the most suitable one among a given number of alternative bus routes. Such problems belong to multi-attribute group decision-making, and their selection and evaluation is a complicated process. This paper constructs an evaluation framework based on fuzzy analytic hierarchy process (FAHP) and technique for order preference by similarity to ideal solution (TOPSIS) method under interval-valued intuitionistic fuzzy environment, and establishes an evaluation index system for bus route selection. The FAHP is used to determine the attribute weights, and the TOPSIS is used to rank all the alternatives. Finally, numerical examples demonstrate the effectiveness and applicability of the proposed multi-attribute group decision-making method.
{"title":"Optimal Multi-attribute Decision-making Method for Public Bus Route Selection under Interval-Valued Intuitionistic Fuzzy Environment","authors":"Jianghong Feng, Suxiu Xu, Ming Li","doi":"10.1109/ICITE50838.2020.9231373","DOIUrl":"https://doi.org/10.1109/ICITE50838.2020.9231373","url":null,"abstract":"In recent years, due to the substantial increase in private car ownership and travel, the city's road traffic jams have become increasing intensified, and severely restrict the sustainable development of cities and society. Therefore, how to alleviate urban traffic congestion has attracted more and more attention. Since public transportation has the obvious advantage of low road resources per capita, many cities prioritize public transportation development strategies to alleviate urban traffic congestion. While buses are an important part of urban public transportation, it is essential to plan bus routes effectively and efficiently. Therefore, the main purpose of this study is to select the most suitable one among a given number of alternative bus routes. Such problems belong to multi-attribute group decision-making, and their selection and evaluation is a complicated process. This paper constructs an evaluation framework based on fuzzy analytic hierarchy process (FAHP) and technique for order preference by similarity to ideal solution (TOPSIS) method under interval-valued intuitionistic fuzzy environment, and establishes an evaluation index system for bus route selection. The FAHP is used to determine the attribute weights, and the TOPSIS is used to rank all the alternatives. Finally, numerical examples demonstrate the effectiveness and applicability of the proposed multi-attribute group decision-making method.","PeriodicalId":112371,"journal":{"name":"2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122540946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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