Pub Date : 2018-09-01DOI: 10.1109/ICITE.2018.8492665
Aifen Fang, Chenlu Qiu, Lei Zhao, Yongjun Jin
Along with high speed urbanization and motorization, road traffic accidents have become a severe problem in China. Drivers' operation error and risk-taking behavior is a leading cause of traffic accidents. Under this condition, the demand of drivers' traffic safety assessment keeps increasing, especially for professional drivers like passenger drivers and freight drivers. This work proposes a data mining framework of drivers' traffic safety assessment using drivers' personal information, traffic violations and traffic accident data records. Model validation and result interpretation are given, showing the rationality and usefulness of our proposed approach.
{"title":"Driver Risk Assessment Using Traffic Violation and Accident Data by Machine Learning Approaches","authors":"Aifen Fang, Chenlu Qiu, Lei Zhao, Yongjun Jin","doi":"10.1109/ICITE.2018.8492665","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492665","url":null,"abstract":"Along with high speed urbanization and motorization, road traffic accidents have become a severe problem in China. Drivers' operation error and risk-taking behavior is a leading cause of traffic accidents. Under this condition, the demand of drivers' traffic safety assessment keeps increasing, especially for professional drivers like passenger drivers and freight drivers. This work proposes a data mining framework of drivers' traffic safety assessment using drivers' personal information, traffic violations and traffic accident data records. Model validation and result interpretation are given, showing the rationality and usefulness of our proposed approach.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129280906","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 : 2018-09-01DOI: 10.1109/ICITE.2018.8492673
Fereshteh Asgari, S. Clémençon
Transport Mode Detection (TDM) algorithms in principle are developed for fine-grained data which is either high frequent accurate GPS data with/or further optional data such as accelerometer from mobile phones. The main drawback of using high frequent GPS data is the battery issue which makes it very expensive experiment to be employed for large scale data. Besides, GPS can not cover underground trajectories and some additional resource is required for such multi-modal trajectories. In this work we investigate the TDM algorithms using a combination of fine-grained (GPS) and coarse-grained (GSM) data with lower frequency compared to existing studies. We first provide a comprehensive overview of transport mode detection for such data by exploring both segment based and sequence-based machine learning approaches and then we use the collected heterogeneous mobility dataset to compare different mode detection algorithms. With the obtained results, we show that TDM algorithms are still effective approach for noisy and sparse heterogeneous data. The obtained decent performance provides the opportunity of extracting precious data from a large population of users in an inexpensive approach.
{"title":"Transport Mode Detection when Fine-grained and Coarse-grained Data Meet","authors":"Fereshteh Asgari, S. Clémençon","doi":"10.1109/ICITE.2018.8492673","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492673","url":null,"abstract":"Transport Mode Detection (TDM) algorithms in principle are developed for fine-grained data which is either high frequent accurate GPS data with/or further optional data such as accelerometer from mobile phones. The main drawback of using high frequent GPS data is the battery issue which makes it very expensive experiment to be employed for large scale data. Besides, GPS can not cover underground trajectories and some additional resource is required for such multi-modal trajectories. In this work we investigate the TDM algorithms using a combination of fine-grained (GPS) and coarse-grained (GSM) data with lower frequency compared to existing studies. We first provide a comprehensive overview of transport mode detection for such data by exploring both segment based and sequence-based machine learning approaches and then we use the collected heterogeneous mobility dataset to compare different mode detection algorithms. With the obtained results, we show that TDM algorithms are still effective approach for noisy and sparse heterogeneous data. The obtained decent performance provides the opportunity of extracting precious data from a large population of users in an inexpensive approach.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124943102","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 : 2018-09-01DOI: 10.1109/ICITE.2018.8492576
Jinjian Li, Arnaud Doniec, J. Boonaert, G. Lozenguez
Route planning systems in bus networks play a key role in providing a better experience to passengers for public transportation services. The existing systems satisfy the multicriteria in two ways. One way is firstly to find the k-shortest paths, then these paths are compared according to the given multi-criteria to select the ultimate path. Another way is to search for a set of Pareto paths with multi-criteria. However, both of the above systems only consider users' preferences qualitatively but not quantitatively. As a result, they can not integrate multicriteria as a single criterion based on users' quantitative preferences. Therefore, in this paper, a new integrated multi-criteria route planning method is proposed for searching the optimal path in a bus network according to passengers' quantitative references. Multi objectives being considered in this work are arrival time, walking time and number of bus transfers. A set of simulation scenarios is executed to show the performance of proposed new system.
{"title":"A New Integrated Multimodal Multi-criteria Route Planning Method in Bus Network Considering Passengers's Walking Behavior","authors":"Jinjian Li, Arnaud Doniec, J. Boonaert, G. Lozenguez","doi":"10.1109/ICITE.2018.8492576","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492576","url":null,"abstract":"Route planning systems in bus networks play a key role in providing a better experience to passengers for public transportation services. The existing systems satisfy the multicriteria in two ways. One way is firstly to find the k-shortest paths, then these paths are compared according to the given multi-criteria to select the ultimate path. Another way is to search for a set of Pareto paths with multi-criteria. However, both of the above systems only consider users' preferences qualitatively but not quantitatively. As a result, they can not integrate multicriteria as a single criterion based on users' quantitative preferences. Therefore, in this paper, a new integrated multi-criteria route planning method is proposed for searching the optimal path in a bus network according to passengers' quantitative references. Multi objectives being considered in this work are arrival time, walking time and number of bus transfers. A set of simulation scenarios is executed to show the performance of proposed new system.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124455973","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 : 2018-09-01DOI: 10.1109/ICITE.2018.8492659
Cheng Zhu, Tao Cheng
Mountain geological hazards, such as landslides, collapses, are potential hazards that affect the safety of the nearby roads and people. The traffic management department of public security organs is responsible for road safety. How to help organs quickly diagnose the stability of the side slope along the road is the problem to solve. This paper cited analysis of typical highway landslide causes and effects on the research based on the grey theory and information entropy in different conditions of highway landslide disaster system, establishment method of analysis and evaluation of uncertainty of highway landslide disaster system theory, and provide scientific strategies and methods for the realization of effective support and human management of landslide disaster on highway.
{"title":"Research of Evaluation Method of Highway Landslide Based on Entropy-weight and Grey Numbers","authors":"Cheng Zhu, Tao Cheng","doi":"10.1109/ICITE.2018.8492659","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492659","url":null,"abstract":"Mountain geological hazards, such as landslides, collapses, are potential hazards that affect the safety of the nearby roads and people. The traffic management department of public security organs is responsible for road safety. How to help organs quickly diagnose the stability of the side slope along the road is the problem to solve. This paper cited analysis of typical highway landslide causes and effects on the research based on the grey theory and information entropy in different conditions of highway landslide disaster system, establishment method of analysis and evaluation of uncertainty of highway landslide disaster system theory, and provide scientific strategies and methods for the realization of effective support and human management of landslide disaster on highway.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131955474","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 : 2018-09-01DOI: 10.1109/ICITE.2018.8492682
Enoch Abraham, Saiful Hasmady bin Abu Hassan, Rifqi Irzuan Bin Abdul Jalal, John Birkmyre
Many modern day compact cars running on downsized engines with direct drive transmissions are having trouble meeting the practical demands of vehicle usage especially under the varying ambient conditions. The vehicle cannot launch from stationary on inclined roads at high altitudes due to inadequate traction force on wheels. This is due to reduced air density which directly reduces the apparent volumetric efficiency of a normally aspirated spark ignition engine hence reducing the torque output of the engine. The significant reduction in torque output compared to that obtained on the engine dynamometer based on ideal volumetric efficiency simply means the first gear ratio selected initially is no longer adequate to provide the necessary traction force on wheels. This paper details the necessary compensation required for first gear ratio selection to prevent this problem from occurring. It is found that traction force on wheels can drop by as much as 38.2% at high altitudes (1500 m) above sea level.
{"title":"Effect of Engine Operating Altitude Towards Traction Force on Wheels","authors":"Enoch Abraham, Saiful Hasmady bin Abu Hassan, Rifqi Irzuan Bin Abdul Jalal, John Birkmyre","doi":"10.1109/ICITE.2018.8492682","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492682","url":null,"abstract":"Many modern day compact cars running on downsized engines with direct drive transmissions are having trouble meeting the practical demands of vehicle usage especially under the varying ambient conditions. The vehicle cannot launch from stationary on inclined roads at high altitudes due to inadequate traction force on wheels. This is due to reduced air density which directly reduces the apparent volumetric efficiency of a normally aspirated spark ignition engine hence reducing the torque output of the engine. The significant reduction in torque output compared to that obtained on the engine dynamometer based on ideal volumetric efficiency simply means the first gear ratio selected initially is no longer adequate to provide the necessary traction force on wheels. This paper details the necessary compensation required for first gear ratio selection to prevent this problem from occurring. It is found that traction force on wheels can drop by as much as 38.2% at high altitudes (1500 m) above sea level.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131565844","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 : 2018-09-01DOI: 10.1109/ICITE.2018.8492618
Fangyuan Li, Kun Jiang
Over-speeding constitutes a major concern for road transportation safety because of the resultant injuries and fatalities. The previous studies on over-speeding management give more attention to risk benefit analysis of single participant or single prevention method, lacking of the analysis on the influence to the behavior decision made by others participants from the road transport system. Considering the cost and benefit of over-speeding prevention, the behavior model of decision makers in the process of road transport is built, which is used to analyze the relationship between the factors related to traffic safety, such as the satisfaction degree of traffic safety etc. The projection algorithm is designed to solve variational inequality model of road transport system, and sensitivity analysis is used to reveal decision equilibrium point of transport safety. The results show that the combined utilization of multiple measures has great influence on traffic safety.
{"title":"Model-based Sensitivity Analysis of Transportation Risk Decisions on Over-Speeding iolation ehavior on Roads","authors":"Fangyuan Li, Kun Jiang","doi":"10.1109/ICITE.2018.8492618","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492618","url":null,"abstract":"Over-speeding constitutes a major concern for road transportation safety because of the resultant injuries and fatalities. The previous studies on over-speeding management give more attention to risk benefit analysis of single participant or single prevention method, lacking of the analysis on the influence to the behavior decision made by others participants from the road transport system. Considering the cost and benefit of over-speeding prevention, the behavior model of decision makers in the process of road transport is built, which is used to analyze the relationship between the factors related to traffic safety, such as the satisfaction degree of traffic safety etc. The projection algorithm is designed to solve variational inequality model of road transport system, and sensitivity analysis is used to reveal decision equilibrium point of transport safety. The results show that the combined utilization of multiple measures has great influence on traffic safety.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130198338","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 : 2018-09-01DOI: 10.1109/ICITE.2018.8492642
Parag Kharche, M. Murali, Geetanjali Khot
The electronic control devices in a modern vehicle are called as Electronic Control Units (ECU). The ECUs support Controller Area Network (CAN) communication protocol. CAN is used for communication between vehicle ECUs since it is reliable, robust and has fault confinement quality. But when the number of on-board ECUs is increased, the diagnosis of a specific ECU becomes a complex task. The diagnosis of the electronic devices and electrical circuits is done with a standardized communication protocol, UDS (Unified Diagnostic Services). In this paper, Input/Outputs testing by UDS application is presented.
现代车辆中的电子控制装置称为电子控制单元(ECU)。ecu支持CAN (Controller Area Network)通信协议。CAN具有可靠、鲁棒性和故障约束特性，被用于汽车ecu之间的通信。但是，随着车载ECU数量的增加，对特定ECU的诊断成为一项复杂的任务。电子设备和电路的诊断是通过标准化的通信协议UDS(统一诊断服务)完成的。本文介绍了UDS应用程序的输入/输出测试。
{"title":"UDS Impiemetation for ECU I/O Testing","authors":"Parag Kharche, M. Murali, Geetanjali Khot","doi":"10.1109/ICITE.2018.8492642","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492642","url":null,"abstract":"The electronic control devices in a modern vehicle are called as Electronic Control Units (ECU). The ECUs support Controller Area Network (CAN) communication protocol. CAN is used for communication between vehicle ECUs since it is reliable, robust and has fault confinement quality. But when the number of on-board ECUs is increased, the diagnosis of a specific ECU becomes a complex task. The diagnosis of the electronic devices and electrical circuits is done with a standardized communication protocol, UDS (Unified Diagnostic Services). In this paper, Input/Outputs testing by UDS application is presented.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126773705","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 : 2018-09-01DOI: 10.1109/ICITE.2018.8492703
Lin Heng, Gao Huarui
In order to study the typical disease of longitudinal cracks in the hollow-core slab beam of expressway, the stress state and spatial deformation of 13m hollow slab beam bridge are simulated numerically, and the influence of overload and hinge failure on the longitudinal cracks of beam is studied emphatically. The research shows: (1) after the prestressed steel strand is stretched, the longitudinal normal stressof hollow-core slab beam bottom is in the pressure state, when combined with the construction process and the vehicle load, the longitudinal stress of the beam bottom is still in the pressure state. (2) below the 0.96 times overload factor, the longitudinal direction of the beam bottom will not crack. when the overload factor is between 0.96 and 1.5 times, the beam has a risk of cracking; more than 1.5 times the overload factor, the beam will produce longitudinal cracking.(3) the broken of hinge joint does not have a significant effect on the transverse normal stress of the hollow slab.
{"title":"Analysis of Longitudinal Cracking for Hollow-core Slab Bridges","authors":"Lin Heng, Gao Huarui","doi":"10.1109/ICITE.2018.8492703","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492703","url":null,"abstract":"In order to study the typical disease of longitudinal cracks in the hollow-core slab beam of expressway, the stress state and spatial deformation of 13m hollow slab beam bridge are simulated numerically, and the influence of overload and hinge failure on the longitudinal cracks of beam is studied emphatically. The research shows: (1) after the prestressed steel strand is stretched, the longitudinal normal stressof hollow-core slab beam bottom is in the pressure state, when combined with the construction process and the vehicle load, the longitudinal stress of the beam bottom is still in the pressure state. (2) below the 0.96 times overload factor, the longitudinal direction of the beam bottom will not crack. when the overload factor is between 0.96 and 1.5 times, the beam has a risk of cracking; more than 1.5 times the overload factor, the beam will produce longitudinal cracking.(3) the broken of hinge joint does not have a significant effect on the transverse normal stress of the hollow slab.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121507325","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 : 2018-09-01DOI: 10.1109/ICITE.2018.8492696
R. Anil, M. Satyakumar, J. Jayakumar
Road accidents are a serious problem in the world especially in developing countries. Travel time of Emergency Vehicle (EV) is an important parameter in emergency rescue during accidents. The situation can be improved provided the emergency information services like Web based emergency information and management systems which identifies incident, alerts emergency vehicle (EV), estimate travel time, enhance pre-emption control and route the EV. The study proposes a multilayer fuzzy model to determine the degree-of-priority (DOP) based on emergency vehicle pre-emption demand and impact intensity on each road section. The need for preemption control is also identified based on degree of priority. This paper aims to develop travel time estimation model for predicting time of arrival of emergency vehicle at intersection based on Bureau of public roads impedance function (BPR). The paper aims to model traffic flow on multilane Indian arterial roads by evaluating passenger car unit (PCU) of different vehicle classes at different volume levels using micro simulation models, VISSIM. The paper presents an online Web based application for route selection choice for emergency vehicle.
{"title":"Travel Time Estimation and Routing for Emergency Vehicles Under Indian Conditions","authors":"R. Anil, M. Satyakumar, J. Jayakumar","doi":"10.1109/ICITE.2018.8492696","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492696","url":null,"abstract":"Road accidents are a serious problem in the world especially in developing countries. Travel time of Emergency Vehicle (EV) is an important parameter in emergency rescue during accidents. The situation can be improved provided the emergency information services like Web based emergency information and management systems which identifies incident, alerts emergency vehicle (EV), estimate travel time, enhance pre-emption control and route the EV. The study proposes a multilayer fuzzy model to determine the degree-of-priority (DOP) based on emergency vehicle pre-emption demand and impact intensity on each road section. The need for preemption control is also identified based on degree of priority. This paper aims to develop travel time estimation model for predicting time of arrival of emergency vehicle at intersection based on Bureau of public roads impedance function (BPR). The paper aims to model traffic flow on multilane Indian arterial roads by evaluating passenger car unit (PCU) of different vehicle classes at different volume levels using micro simulation models, VISSIM. The paper presents an online Web based application for route selection choice for emergency vehicle.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125364096","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 : 2018-09-01DOI: 10.1109/ICITE.2018.8492592
Shiva Hajiebrahimi, Saeid Iranmanesh
Traffic management is one of the most challenging issues in smart cities. Many large cities are facing the traffic congestion problem. This congestion becomes critical when an emergency vehicle goes on a mission. In such a scenario, delays are not tolerable. Current methods only focus on emergency vehicles arriving at their destination with minimum delay. However, ordinary vehicles have to experience a significant trip delay in these scenarios. This paper presents a Fuzzy rule-based system for traffic signal-timing called STC that tackle the problem of trip delay for emergency vehicles. This method formulates the knowledge of an expert to rules and takes advantage of fuzzy sets to have linguistic parameters such as estimated arrival time and current traffic as inputs. The outcome is the signal-timing process that reduces traffic load along the emergency vehicles routes. Although this method highly focuses on emergency vehicles to pass intersections quickly due to critical conditions, ordinary vehicles will not experience large delays. Our experiment results show that STC has 12 % reduction in delay for emergency vehicles compared with FLCGA when the number of emergency vehicles is increased and achieves up to 18.5% reduction in delay for ordinary vehicles compared with ATLC when the number of ordinary vehicles is increased.
{"title":"An Adaptive Control Method of Traffic Signal-Timing under Emergency Situations for Smart Cities","authors":"Shiva Hajiebrahimi, Saeid Iranmanesh","doi":"10.1109/ICITE.2018.8492592","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492592","url":null,"abstract":"Traffic management is one of the most challenging issues in smart cities. Many large cities are facing the traffic congestion problem. This congestion becomes critical when an emergency vehicle goes on a mission. In such a scenario, delays are not tolerable. Current methods only focus on emergency vehicles arriving at their destination with minimum delay. However, ordinary vehicles have to experience a significant trip delay in these scenarios. This paper presents a Fuzzy rule-based system for traffic signal-timing called STC that tackle the problem of trip delay for emergency vehicles. This method formulates the knowledge of an expert to rules and takes advantage of fuzzy sets to have linguistic parameters such as estimated arrival time and current traffic as inputs. The outcome is the signal-timing process that reduces traffic load along the emergency vehicles routes. Although this method highly focuses on emergency vehicles to pass intersections quickly due to critical conditions, ordinary vehicles will not experience large delays. Our experiment results show that STC has 12 % reduction in delay for emergency vehicles compared with FLCGA when the number of emergency vehicles is increased and achieves up to 18.5% reduction in delay for ordinary vehicles compared with ATLC when the number of ordinary vehicles is increased.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122083550","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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