Pub Date : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965195
M. Baqer, A. Krings
In the context of connected vehicles, the focus of safety applications has mainly been on accident avoidance of motor vehicles, and little attention has been given to bicycle safety. This research presents a bicycle safety application for connected vehicles. The safety application aims to reduce the so-called right hook conflict, a common accident scenario where a right-turning vehicle causes a crash with an adjacent bicycle. The information exchanged during normal beacon messages of vehicles is used by the application to alert drivers of potential collisions with bicycles, without introducing addition message overhead or deviating from current standards. The proposed safety application was implemented using commercial equipment, installed in the vehicle and bicycle, and the effectiveness was evaluated based on real-world field experiments.
{"title":"On the Reliability of VANET Safety Applications for Bicycles","authors":"M. Baqer, A. Krings","doi":"10.1109/ICCVE45908.2019.8965195","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965195","url":null,"abstract":"In the context of connected vehicles, the focus of safety applications has mainly been on accident avoidance of motor vehicles, and little attention has been given to bicycle safety. This research presents a bicycle safety application for connected vehicles. The safety application aims to reduce the so-called right hook conflict, a common accident scenario where a right-turning vehicle causes a crash with an adjacent bicycle. The information exchanged during normal beacon messages of vehicles is used by the application to alert drivers of potential collisions with bicycles, without introducing addition message overhead or deviating from current standards. The proposed safety application was implemented using commercial equipment, installed in the vehicle and bicycle, and the effectiveness was evaluated based on real-world field experiments.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131332505","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 : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8964888
S. Hornstein, Klaus Trangbaek
Traffic density has become one of the substantial problems in urban areas. Saturated roads increase the likelihood of vehicular collisions, mostly since the distance between the cars is decreased significantly. The emerging technology of communication between cars is suggested as an enabling technology to optimize traffic flow control. One solution to improve traffic flow on dense roads is to share kinematic properties among near cars. This could enable drivers or an automated system to get better decisions with respect to following the preceding cars. Control algorithms for cars driving in heavy traffic that considers the velocities, acceleration and spacing of the neighboring vehicles ahead, could eliminate traffic waves and reduce tail to head collisions. The purpose of this work is to design and construct a lab testbed based on scaled electric cars, which are remotely controlled by a PC, and to implement driving algorithms for these cars assuming the kinematic properties of the adjacent cars are known.
{"title":"Laboratory Emulator Using Connected Scaled Cars to Study Traffic Waves","authors":"S. Hornstein, Klaus Trangbaek","doi":"10.1109/ICCVE45908.2019.8964888","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8964888","url":null,"abstract":"Traffic density has become one of the substantial problems in urban areas. Saturated roads increase the likelihood of vehicular collisions, mostly since the distance between the cars is decreased significantly. The emerging technology of communication between cars is suggested as an enabling technology to optimize traffic flow control. One solution to improve traffic flow on dense roads is to share kinematic properties among near cars. This could enable drivers or an automated system to get better decisions with respect to following the preceding cars. Control algorithms for cars driving in heavy traffic that considers the velocities, acceleration and spacing of the neighboring vehicles ahead, could eliminate traffic waves and reduce tail to head collisions. The purpose of this work is to design and construct a lab testbed based on scaled electric cars, which are remotely controlled by a PC, and to implement driving algorithms for these cars assuming the kinematic properties of the adjacent cars are known.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132847660","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 : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8964960
Ádám Domina, V. Tihanyi
In recent years vehicles with high level of automation are becoming more popular which is expected to continue in the future. Advanced driving assistance systems are increasingly taking control of the vehicle, starting with the support of the driving task. Automated or highly automated vehicles are expected to follow a planned road safely. In this paper, the authors aim to improve the accuracy of path following by developing a new control strategy. The controller includes both pure pursuit and Stanley methods, the operation of the controller is based on the geometry of the vehicle and the path; the key is the proper weighting between two controllers. The performance of the combined path following controller was measured on a demonstration vehicle.
{"title":"Path following controller for autonomous vehicles","authors":"Ádám Domina, V. Tihanyi","doi":"10.1109/ICCVE45908.2019.8964960","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8964960","url":null,"abstract":"In recent years vehicles with high level of automation are becoming more popular which is expected to continue in the future. Advanced driving assistance systems are increasingly taking control of the vehicle, starting with the support of the driving task. Automated or highly automated vehicles are expected to follow a planned road safely. In this paper, the authors aim to improve the accuracy of path following by developing a new control strategy. The controller includes both pure pursuit and Stanley methods, the operation of the controller is based on the geometry of the vehicle and the path; the key is the proper weighting between two controllers. The performance of the combined path following controller was measured on a demonstration vehicle.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123771296","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 : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965209
Hermann Felbinger, Florian Klück, Yihao Li, M. Nica, Jianbo Tao, F. Wotawa, Martin Zimmermann
Thoroughly validating and verifying automated or autonomous driving functions is inevitable for assuring to meet quality criteria for safety-critical systems. In this paper, we discuss two system testing techniques that have been already used for detecting critical situations for the automated emergency braking function based on vehicle simulations. In particular, we introduce combinatorial testing and search-based testing techniques and compare them. Whereas the first is for identifying interactions of parameters that lead to harmful situations considering predefined value domains, the latter is for finding parameter values that cause such critical situations. We discuss the underlying foundations behind the methods as well as their potential application areas. In addition, we summarize the results obtained when using these methods for testing automated emergency braking.
{"title":"Comparing two systematic approaches for testing automated driving functions","authors":"Hermann Felbinger, Florian Klück, Yihao Li, M. Nica, Jianbo Tao, F. Wotawa, Martin Zimmermann","doi":"10.1109/ICCVE45908.2019.8965209","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965209","url":null,"abstract":"Thoroughly validating and verifying automated or autonomous driving functions is inevitable for assuring to meet quality criteria for safety-critical systems. In this paper, we discuss two system testing techniques that have been already used for detecting critical situations for the automated emergency braking function based on vehicle simulations. In particular, we introduce combinatorial testing and search-based testing techniques and compare them. Whereas the first is for identifying interactions of parameters that lead to harmful situations considering predefined value domains, the latter is for finding parameter values that cause such critical situations. We discuss the underlying foundations behind the methods as well as their potential application areas. In addition, we summarize the results obtained when using these methods for testing automated emergency braking.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130191540","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 : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965228
G. Bifulco, Bianca Caiazzo, Angelo Coppola, S. Santini
The paper addresses the problem of safe crossing a non-signalized intersection in a mixed traffic scenario composed of both connected human-driven and autonomous vehicles. To solve this problem, we propose a control strategy that leverages information shared via V2X for extending the line-of-sight of the on-board ranging sensors. The control protocol augments the classical I-ADAS approach based on local measurements with an additional networked action that has the aim of preventing oncoming colliding situations. The control strategy is purposely designed for counteracting the unavoidable presence of communication impairments that turns into multiple time-varying delays affecting the information sent via the cyber-space. The numerical analysis, carried out leveraging the Matlab/Simulink platform, discloses the effectiveness of the approach for a challenging case where vehicles dynamic conditions are such that collisions would have occurred at the intersection if the vehicle would only be equipped with range sensors.
{"title":"Intersection Crossing in Mixed Traffic Flow Environment leveraging V2X information","authors":"G. Bifulco, Bianca Caiazzo, Angelo Coppola, S. Santini","doi":"10.1109/ICCVE45908.2019.8965228","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965228","url":null,"abstract":"The paper addresses the problem of safe crossing a non-signalized intersection in a mixed traffic scenario composed of both connected human-driven and autonomous vehicles. To solve this problem, we propose a control strategy that leverages information shared via V2X for extending the line-of-sight of the on-board ranging sensors. The control protocol augments the classical I-ADAS approach based on local measurements with an additional networked action that has the aim of preventing oncoming colliding situations. The control strategy is purposely designed for counteracting the unavoidable presence of communication impairments that turns into multiple time-varying delays affecting the information sent via the cyber-space. The numerical analysis, carried out leveraging the Matlab/Simulink platform, discloses the effectiveness of the approach for a challenging case where vehicles dynamic conditions are such that collisions would have occurred at the intersection if the vehicle would only be equipped with range sensors.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"70 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128046522","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 : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8964917
S. Chuprov, I. Viksnin, Iuliia Kim
The congestion of urban car traffic creates many problems at once to the residents of metropolises, from emissions of harmful substances into the atmosphere to annually increasing mortality in road traffic accidents. Recent achievements in the field of artificial intelligence and the organization of the movement of autonomous vehicles today allow us to create concepts that may become ubiquitous in the near future. In this paper, the authors consider the possibilities for creating an intelligent transport infrastructure within the concept of a smart city using cyber-physical systems. The aspects of information security in the use of cyber-physical systems are considered, approaches to solving problems of intersection management are discussed. Intersections in cities loaded with traffic can be compared with bottlenecks - the trajectory of many vehicles overlap and congestion occurs. To increase the capacity of urban streets, the authors presented a model of the system that regulates the movement of vehicles at the intersection. To assess the feasibility of using the developed model, the authors developed a software simulator of two connected urban intersections. For comparison, a simulator of the intersections, regulated by a traffic lights, was also developed. The results of the experiments allow us to say that the developed model is more efficient than the traffic light in the framework of this study.
{"title":"Urban Intersection Management with Connected Infrastructure Objects and Autonomous Vehicles","authors":"S. Chuprov, I. Viksnin, Iuliia Kim","doi":"10.1109/ICCVE45908.2019.8964917","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8964917","url":null,"abstract":"The congestion of urban car traffic creates many problems at once to the residents of metropolises, from emissions of harmful substances into the atmosphere to annually increasing mortality in road traffic accidents. Recent achievements in the field of artificial intelligence and the organization of the movement of autonomous vehicles today allow us to create concepts that may become ubiquitous in the near future. In this paper, the authors consider the possibilities for creating an intelligent transport infrastructure within the concept of a smart city using cyber-physical systems. The aspects of information security in the use of cyber-physical systems are considered, approaches to solving problems of intersection management are discussed. Intersections in cities loaded with traffic can be compared with bottlenecks - the trajectory of many vehicles overlap and congestion occurs. To increase the capacity of urban streets, the authors presented a model of the system that regulates the movement of vehicles at the intersection. To assess the feasibility of using the developed model, the authors developed a software simulator of two connected urban intersections. For comparison, a simulator of the intersections, regulated by a traffic lights, was also developed. The results of the experiments allow us to say that the developed model is more efficient than the traffic light in the framework of this study.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122642782","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 : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965181
H. Martin, B. Winkler, Stephanie Grubmüller, D. Watzenig
Today's automotive functions are more and more complex, because of the automation of driving assistance to different levels of automated driving. Functions like Extended-Automated Emergency Braking (E-AEB) are implemented by Automated Driving System (ADS), which are intended to improve active safety of road vehicles such as cars, trucks, and buses. ADS functions are safety-critical in sense of Functional Safety according to ISO 26262, because any malfunction may lead to a harm of people. Limitations of sensor technologies and algorithms of ADS can lead to an unwanted hazardous situation, which is addressed in the first Public Available Specification (PAS) called Safety of the intended Functionality (SOTIF, ISO/PAS 21448). This paper presents a work in progress of a systematic workflow to identify the so-called “triggering events” of sensing units based on camera and Light Detection And Ranging (LIDAR). The workflow has been used for a systematic analysis to identify triggering events of relevant sensor technologies for an E-AEB use case. In the last step, an evaluation of sensor modelling tools for simulation of sensor imperfections has been performed. Furthermore, the results will be used to derive simulation test cases for verification and validation of such sensing technology.
{"title":"Identification of performance limitations of sensing technologies for automated driving","authors":"H. Martin, B. Winkler, Stephanie Grubmüller, D. Watzenig","doi":"10.1109/ICCVE45908.2019.8965181","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965181","url":null,"abstract":"Today's automotive functions are more and more complex, because of the automation of driving assistance to different levels of automated driving. Functions like Extended-Automated Emergency Braking (E-AEB) are implemented by Automated Driving System (ADS), which are intended to improve active safety of road vehicles such as cars, trucks, and buses. ADS functions are safety-critical in sense of Functional Safety according to ISO 26262, because any malfunction may lead to a harm of people. Limitations of sensor technologies and algorithms of ADS can lead to an unwanted hazardous situation, which is addressed in the first Public Available Specification (PAS) called Safety of the intended Functionality (SOTIF, ISO/PAS 21448). This paper presents a work in progress of a systematic workflow to identify the so-called “triggering events” of sensing units based on camera and Light Detection And Ranging (LIDAR). The workflow has been used for a systematic analysis to identify triggering events of relevant sensor technologies for an E-AEB use case. In the last step, an evaluation of sensor modelling tools for simulation of sensor imperfections has been performed. Furthermore, the results will be used to derive simulation test cases for verification and validation of such sensing technology.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131097576","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 : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965198
S. Ruehrup, S. Krenn
With geographic message dissemination, connected vehicles can be served with traffic information in their proximity, thereby positively impacting road safety, traffic management, or routing. Since such messages are typically relevant in a small geographic area, servers only distribute messages to affected vehicles for efficiency reasons. One main challenge is to maintain scalability of the server infrastructure when collecting location updates from vehicles and determining the relevant group of vehicles when messages are distributed to a geographic relevance area, while at the same time respecting the individual user's privacy in accordance with legal regulations. In this paper, we present a framework for geographic message dissemination following the privacy-by-design and privacy-by-default principles, without having to accept efficiency drawbacks compared to conventional server-client based approaches.
{"title":"Towards Privacy in Geographic Message Dissemination for Connected Vehicles","authors":"S. Ruehrup, S. Krenn","doi":"10.1109/ICCVE45908.2019.8965198","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965198","url":null,"abstract":"With geographic message dissemination, connected vehicles can be served with traffic information in their proximity, thereby positively impacting road safety, traffic management, or routing. Since such messages are typically relevant in a small geographic area, servers only distribute messages to affected vehicles for efficiency reasons. One main challenge is to maintain scalability of the server infrastructure when collecting location updates from vehicles and determining the relevant group of vehicles when messages are distributed to a geographic relevance area, while at the same time respecting the individual user's privacy in accordance with legal regulations. In this paper, we present a framework for geographic message dissemination following the privacy-by-design and privacy-by-default principles, without having to accept efficiency drawbacks compared to conventional server-client based approaches.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121682451","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 : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965216
Josef Schmid, Mathias Schneider, A. Höß, Björn Schuller
Mobile communication has become a part of everyday life and is considered to support reliability and safety in traffic use cases such as conditionally automated driving. Nevertheless, prediction of Quality of Service parameters, particularly throughput, is still a challenging task while on the move. Whereas most approaches in this research field rely on historical data measurements, mapped to the corresponding coordinates in the area of interest, this paper proposes a throughput prediction method that focuses on a location independent approach. In order to compensate the missing positioning information, mainly used for spatial clustering, our model uses low-level mobile network parameters, improved by additional feature engineering to retrieve abstracted location information, e. g., surrounding building size and street type. Thus, the major advantage of our method is the applicability to new regions without the prerequisite of conducting an extensive measurement campaign in advance. Therefore, we embed analysis results for underlying temporal relations in the design of different deep neuronal network types. Finally, model performances are evaluated and compared to traditional models, such as the support vector or random forest regression, which were harnessed in previous investigations.
{"title":"A Deep Learning Approach for Location Independent Throughput Prediction","authors":"Josef Schmid, Mathias Schneider, A. Höß, Björn Schuller","doi":"10.1109/ICCVE45908.2019.8965216","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965216","url":null,"abstract":"Mobile communication has become a part of everyday life and is considered to support reliability and safety in traffic use cases such as conditionally automated driving. Nevertheless, prediction of Quality of Service parameters, particularly throughput, is still a challenging task while on the move. Whereas most approaches in this research field rely on historical data measurements, mapped to the corresponding coordinates in the area of interest, this paper proposes a throughput prediction method that focuses on a location independent approach. In order to compensate the missing positioning information, mainly used for spatial clustering, our model uses low-level mobile network parameters, improved by additional feature engineering to retrieve abstracted location information, e. g., surrounding building size and street type. Thus, the major advantage of our method is the applicability to new regions without the prerequisite of conducting an extensive measurement campaign in advance. Therefore, we embed analysis results for underlying temporal relations in the design of different deep neuronal network types. Finally, model performances are evaluated and compared to traditional models, such as the support vector or random forest regression, which were harnessed in previous investigations.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121606090","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 : 2019-11-01DOI: 10.1109/ICCVE45908.2019.8965232
T. Mitani, T. Yamazato, K. Naito, Yuki Mori
Emergency services around the world face the problem of increasing patient transportation times. The operation of emergency vehicles is fundamentally different from that of general vehicles; hence, algorithms recommending optimal routes in a conventional way are not always applicable to emergency vehicles. In this study, we analyzed data of inter-vehicle and road-vehicle communication collected at 700 MHz band intelligent transport systems and demonstrated that the overall travel time of emergency vehicles can be reduced by decreasing their travel time at intersections.
{"title":"Analysis of Data Collected by the 700 MHz Band Intelligent Transport Systems for Reducing Ambulance Transportation Time","authors":"T. Mitani, T. Yamazato, K. Naito, Yuki Mori","doi":"10.1109/ICCVE45908.2019.8965232","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965232","url":null,"abstract":"Emergency services around the world face the problem of increasing patient transportation times. The operation of emergency vehicles is fundamentally different from that of general vehicles; hence, algorithms recommending optimal routes in a conventional way are not always applicable to emergency vehicles. In this study, we analyzed data of inter-vehicle and road-vehicle communication collected at 700 MHz band intelligent transport systems and demonstrated that the overall travel time of emergency vehicles can be reduced by decreasing their travel time at intersections.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123943830","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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