IEICE TRANSACTIONS on Fundamentals
An Advantage of the Vehicle to Vehicle Communication for an Automated Driving Car at the Encounter with an Ambulance
Summary :
When the automated driving cars are in widespread usage, traffic will coexist with prioritized vehicles (e.g., ambulances, fire trucks, police vehicles) and automated driving cars. Automated driving cars are expected to be safer and lower stress than manual driving vehicles because of passengers paying less attention to driving. However, there are many challenges for automated driving cars to get along with surrounding transport participants. In particular, when an ambulance is driving into an intersection with the red traffic signal, the automated driving car is required to deal with a situation differently from normal traffic situations. In order to continue safe driving, it is necessary to recognize the approach of the ambulance at an earlier time. Possible means of recognizing ambulances include siren sound, rotating red lights and vehicle to vehicle communication. Based on actual traffic data, the authors created a mathematical model of deceleration for giving way and consider the status of suitable behavior by automated driving cars. The authors calculate the detection distance required to take suitable action. The results indicate that there are advantages in vehicle to vehicle communication in detecting ambulances by automated driving cars.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.9 pp.1281-1289
- Publication Date
- 2018/09/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.1281
- Type of Manuscript
- Special Section PAPER (Special Section on Intelligent Transport Systems)
- Category
Authors
Hideaki NANBA
DENSO CORPORATION
Yukihito IKAMI
DENSO CORPORATION
Kenichiro IMAI
DENSO CORPORATION
Kenji KOBAYASHI
DENSO CORPORATION
Manabu SAWADA
DENSO CORPORATION
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Hideaki NANBA, Yukihito IKAMI, Kenichiro IMAI, Kenji KOBAYASHI, Manabu SAWADA, "An Advantage of the Vehicle to Vehicle Communication for an Automated Driving Car at the Encounter with an Ambulance" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 9, pp. 1281-1289, September 2018, doi: 10.1587/transfun.E101.A.1281.
Abstract: When the automated driving cars are in widespread usage, traffic will coexist with prioritized vehicles (e.g., ambulances, fire trucks, police vehicles) and automated driving cars. Automated driving cars are expected to be safer and lower stress than manual driving vehicles because of passengers paying less attention to driving. However, there are many challenges for automated driving cars to get along with surrounding transport participants. In particular, when an ambulance is driving into an intersection with the red traffic signal, the automated driving car is required to deal with a situation differently from normal traffic situations. In order to continue safe driving, it is necessary to recognize the approach of the ambulance at an earlier time. Possible means of recognizing ambulances include siren sound, rotating red lights and vehicle to vehicle communication. Based on actual traffic data, the authors created a mathematical model of deceleration for giving way and consider the status of suitable behavior by automated driving cars. The authors calculate the detection distance required to take suitable action. The results indicate that there are advantages in vehicle to vehicle communication in detecting ambulances by automated driving cars.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1281/_p
Copy
@ARTICLE{e101-a_9_1281,
author={Hideaki NANBA, Yukihito IKAMI, Kenichiro IMAI, Kenji KOBAYASHI, Manabu SAWADA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Advantage of the Vehicle to Vehicle Communication for an Automated Driving Car at the Encounter with an Ambulance},
year={2018},
volume={E101-A},
number={9},
pages={1281-1289},
abstract={When the automated driving cars are in widespread usage, traffic will coexist with prioritized vehicles (e.g., ambulances, fire trucks, police vehicles) and automated driving cars. Automated driving cars are expected to be safer and lower stress than manual driving vehicles because of passengers paying less attention to driving. However, there are many challenges for automated driving cars to get along with surrounding transport participants. In particular, when an ambulance is driving into an intersection with the red traffic signal, the automated driving car is required to deal with a situation differently from normal traffic situations. In order to continue safe driving, it is necessary to recognize the approach of the ambulance at an earlier time. Possible means of recognizing ambulances include siren sound, rotating red lights and vehicle to vehicle communication. Based on actual traffic data, the authors created a mathematical model of deceleration for giving way and consider the status of suitable behavior by automated driving cars. The authors calculate the detection distance required to take suitable action. The results indicate that there are advantages in vehicle to vehicle communication in detecting ambulances by automated driving cars.},
keywords={},
doi={10.1587/transfun.E101.A.1281},
ISSN={1745-1337},
month={September},}
Copy
TY - JOUR
TI - An Advantage of the Vehicle to Vehicle Communication for an Automated Driving Car at the Encounter with an Ambulance
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1281
EP - 1289
AU - Hideaki NANBA
AU - Yukihito IKAMI
AU - Kenichiro IMAI
AU - Kenji KOBAYASHI
AU - Manabu SAWADA
PY - 2018
DO - 10.1587/transfun.E101.A.1281
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2018
AB - When the automated driving cars are in widespread usage, traffic will coexist with prioritized vehicles (e.g., ambulances, fire trucks, police vehicles) and automated driving cars. Automated driving cars are expected to be safer and lower stress than manual driving vehicles because of passengers paying less attention to driving. However, there are many challenges for automated driving cars to get along with surrounding transport participants. In particular, when an ambulance is driving into an intersection with the red traffic signal, the automated driving car is required to deal with a situation differently from normal traffic situations. In order to continue safe driving, it is necessary to recognize the approach of the ambulance at an earlier time. Possible means of recognizing ambulances include siren sound, rotating red lights and vehicle to vehicle communication. Based on actual traffic data, the authors created a mathematical model of deceleration for giving way and consider the status of suitable behavior by automated driving cars. The authors calculate the detection distance required to take suitable action. The results indicate that there are advantages in vehicle to vehicle communication in detecting ambulances by automated driving cars.
ER -
English
