Car-to-Pedestrian Communication Safety System Based on the Vehicular Ad-Hoc Network Environment: A Systematic Review
Abstract
:1. Introduction
2. Method
2.1. Search Approach and Database Searched
2.2. Inclusion and Exclusion Criteria
2.3. Data Extraction
2.4. Quality Assessment
3. Systematic Review Process
3.1. The Factors of Influencing Data Transmission Procedure
3.2. The Accuracy of Positioning
4. Quality of Reviewed Studies
5. Limitations and Strengths
6. Discussion
- Car-to-pedestrian communication safety system based on vehicular ad hoc network relies on exchanging information between pedestrians and vehicles. The accurate and precise information (position, direction, motion type) of the pedestrians and vehicles is the prerequisite to avoid crashes among vehicles and pedestrians. Due to the unstable network connections among the communication devices and the fast changing topology of VANETs. Existing communication systems using different communication devices could not provide perfect and unmistakable information each other. Furthermore, in the complex traffic situation, the influencing factors (the packets lost, the obstacles on the transmission path, the speed of the vehicles and pedestrians, and the transmission distance) will have an influence on the reliability of the communication system. Therefore, a novel ideal to make the proposed communication safety system more reliable is needed.
- It is indispensable to measure the precise location of pedestrians and vehicles in real and complicated traffic situation in order to recognize their position and judge the collision risk for car-to-pedestrian communication safety system based on the vehicular ad hoc network. In this review, there are no articles give the details how to get to the exact position of the pedestrians and vehicles. Furthermore, the accurate positioning device might be complex, expensive and huge volume which is unfit for the handheld device. It is essential to highly enhance the robustness and precision of the positioning device.
- The existing researches mainly focus on employing the experiments under certain specific conditions to validate the reliability of the communication system, which can not present the complex and complicated real world and would not get the real world experimental data to further analysis as well as improve the communication system. In addition, there is no simulation part in most papers about these communication systems, employing real data to conduct the simulation which can assess different simple or complicated or innovative solutions before implementation. It is necessary to develop a novel simulation platform to validate the car-to-pedestrian communication safety system based on the vehicular ad hoc network.
- It is acknowledged that majority of the avoiding collision process of the communication safety system mentioned above are depended on the reaction of drivers and pedestrians. Sometimes, drivers may be distracted and interfered by trivial matters and ignore the information exchanged by the communication safety system. Deceleration and baking measures have not been taken, which may cause a fatal and unexpected consequence. Owing to the limitations in the information processing abilities in human beings. Machine intervention to replace the reaction of driver should be taken into account.
- There is no doubt that most of the field experiments only consider a pedestrian carrying a communication device and a vehicle installed communication equipment in the process of verifying the reliability of communication system. There is no other interfere information to influence the action of the driver. More field experiments should be conducted to validate the reliability of the communication system under the condition where more pedestrians carrying the communication device. The communication system can distinguish the wrong warnings and reduce the workload of the driver.
7. Conclusions
8. Future Works
- It is a well-known fact that most of the crashes around the globe are caused by the human error. The main reason for this human error is the limitations in the information processing abilities and the reaction time for the emergence. Most of the car-to-pedestrian communication system based on the vehicular ad hoc network are depended on the reaction of the pedestrians and vehicles. Therefore, novel ideas should be proposed by employing the machine device (activating baking, steering actuation) to replace the human thinking and reacting time. When the emergence information are exchanging through the communication device, the control center can active the braking system or steering to avoid the accident.
- In the real complex transportation system, more complicated traffic situation is faced by the driver instead of one pedestrian carrying a communication device. In the future research, more pedestrians and vehicles should be taken into account. However, this communication system will offers the driver a variety of information, excessive information increases the driver’s workload and hence has a negative impact on safety. Therefore, the communication system has to be appropriately designed for offering information to drivers in place of wrong warnings.
- In order to protect the pedestrians and reduce the crashes, both pedestrian handheld devices and vehicle need to constantly and with a high frequency send updating information (their location, speed and direction). Therefore, the problem is that limited battery life of communication devices is a bottleneck in realization of these communication system [53,55]. The future works should focus on this aspect to improve the cruising ability of these communication safety system to provide more safety information persistently.
- The reliability of car-to-pedestrian communication safety system based on the vehicular ad hoc network is depended on exchanging location information between pedestrians and vehicles. From the safety perspective, due to the accuracy and precise of the positioning device is not satisfy the requirement of the communication safety system, it is difficult to display the correct position of the pedestrians [38,43]. Therefore, future approaches will address the location enhancement of both pedestrians and vehicles to ensure a more accurate estimation of the localization through a higher calculation frequency.
Acknowledgments
Author Contributions
Conflicts of interest
References
- Sam, D.; Velanganni, C.; Evangelin, T.E. A vehicle control system using a time synchronized Hybrid VANET to reduce road accidents caused by human error. Veh. Commun. 2016, 6, 17–28. [Google Scholar] [CrossRef]
- Becker, D.; Schäufele, B.; Einsiedler, J.; Sawade, O.; Radusch, I. Vehicle and pedestrian collision prevention system based on smart video surveillance and C2I communication. In Proceedings of the IEEE International Conference on Intelligent Transportation Systems, Qingdao, China, 8–11 October 2014. [Google Scholar]
- Ferguson, R.; Xu, Z.; Green, A.; Rosenthal, K. Teens and Distraction: An In-Depth Look at Teens’ Walking Behaviors. Available online: https://www.safekids.org/sites/default/files/documents/ResearchReports/skw_pedestrian_study_2013.pdf (accessed on 12 October 2017).
- FATALITY ANALYSIS REPORTING SYSTEM (FARS) ENCYCLOPEDIA. Available online: https://www-fars.nhtsa.dot.gov/Main/index.aspx (accessed on 12 October 2017).
- NHTSA 2015: Advancing Safety on America’s Roads. Available online: https://one.nhtsa.gov/nhtsa/accomplishments/2015/index.html (accessed on 12 October 2017).
- Tielert, T.; Jiang, D.; Chen, Q.; Delgrossi, L.; Hartenstein, H. Design methodology and evaluation of rate adaptation based congestion control for Vehicle Safety Communications. In Proceedings of the 2011 IEEE Vehicular Networking Conference (VNC), Amsterdam, The Netherlands, 14–16 November 2011. [Google Scholar]
- Bhumkar, S.P.; Deotare, V.V.; Babar, R.V. Accident Avoidance and Detection on Highways. Int. J. Eng. Trends Technol. 2012, 3, 247–252. [Google Scholar]
- Rosén, E.; Källhammer, J.-E.; Eriksson, D.; Nentwich, M.; Fredriksson, R.; Smith, K. Pedestrian injury mitigation by autonomous braking. Accid. Anal. Prev. 2010, 42, 1949–1957. [Google Scholar] [CrossRef] [PubMed]
- Geronimo, D.; Lopez, A.M.; Sappa, A.D.; Graf, T. Survey of Pedestrian Detection for Advanced Driver Assistance Systems. IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32, 1239–1258. [Google Scholar] [CrossRef] [PubMed]
- Dollar, P.; Wojek, C.; Schiele, B.; Perona, P. Pedestrian Detection: An Evaluation of the State of the Art. IEEE Trans. Pattern Anal. Mach. Intell. 2012, 34, 743. [Google Scholar] [CrossRef] [PubMed]
- Gidel, S.; Checchin, P.; Blanc, C.; Chateau, T.; Trassoudaine, L. Pedestrian Detection and Tracking in an Urban Environment Using a Multilayer Laser Scanner. IEEE Trans. Intell. Transp. Syst. 2010, 11, 579–588. [Google Scholar] [CrossRef]
- Nedevschi, S.; Bota, S.; Tomiuc, C. Stereo-Based Pedestrian Detection for Collision-Avoidance Applications. IEEE Trans. Intell. Transp. Syst. 2009, 10, 380–391. [Google Scholar] [CrossRef]
- Raßhofer, R.; Schwarz, D.; Frühauf, H. Pedestrian Protection Systems Using Cooperative Sensor Technology; Springer: Berlin/Heidelberg, Germany, 2007; pp. 135–145. [Google Scholar]
- Gandhi, T.; Trivedi, M.M. Pedestrian Protection Systems: Issues, Survey, and Challenges. IEEE Trans. Intell. Transp. Syst. 2007, 8, 413–430. [Google Scholar] [CrossRef]
- Labayrade, R.; Royere, C.; Aubert, D. A collision mitigation system using laser scanner and stereovision fusion and its assessment. In Proceedings of the IEEE Intelligent Vehicles Symposium, Las Vegas, NV, USA, 6–8 June 2005. [Google Scholar]
- Kubota, S.; Okamoto, Y.; Oda, H. Safety Driving Support System Using RFID for Prevention of Pedestrian-involved Accidents. In Proceedings of the 2006 6th International Conference on ITS Telecommunications, Chengdu, China, 21–23 June 2006. [Google Scholar]
- Fujii, H.; Seki, K.; Nakagata, N. Experimental Research on Protocol of Inter-Vehicle Communication for Vehicle Control and Driver Support. In Proceedings of the Steps Forward, Intelligent Transport Systems World Congress, Yokohama, Japan, 9–11 November 1995. [Google Scholar]
- Sasaki, I.; Hirayama, T.; Hatsuda, T. Vehicle information networking based on inter-vehicle communication by laser beam injection and retro-reflection techniques. In Proceedings of the Vehicle Navigation and Information Systems Conference, Yokohama, Japan, 31 August–2 September 1994. [Google Scholar]
- Mizui, K.; Uchida, M.; Nakagawa, M. Vehicle-to-vehicle 2-way communication and ranging system using spread spectrum technique. In Proceedings of the Papers of Technical Meeting on Intelligent Transport Systems, Yokohama, Japan, 31 August–2 September 1994. [Google Scholar]
- Sam, D.; Raj, V.C. A time synchronized hybrid vehicular Ad hoc network of roadside sensors and vehicles for safe driving. J. Comput. Sci. 2014, 10, 1617–1627. [Google Scholar] [CrossRef]
- Valade, J.; de Vaulx, L. Vehicle to Vehicle Communications: Experimental Results and Implementation Perspectives. In Proceedings of the Steps Forward, Intelligent Transport Systems World Congress, Yokohama, Japan, 9–11 November 1995. [Google Scholar]
- Kremer, W.; Hubner, D.; Hoff, S.; Benz, T.P.; Schafer, W. Computer-aided design and evaluation of mobile radio local area networks in RTI/IVHS environments. IEEE J. Sel. Areas Commun. 1993, 11, 406–421. [Google Scholar] [CrossRef]
- Liu, Y.; Bi, J.; Yang, J. Research on Vehicular Ad Hoc Networks. In Proceedings of the 2009 China Control and Decision-Making Conference, Shanghai, China, 16–18 December 2009. [Google Scholar]
- David, K.; Flach, A. CAR-2-X and Pedestrian Safety. IEEE Veh. Technol. Mag. 2010, 5, 70–76. [Google Scholar] [CrossRef]
- Sugimoto, C.; Nakamura, Y.; Hashimoto, T. Prototype of pedestrian-to-vehicle communication system for the prevention of pedestrian accidents using both 3G wireless and WLAN communication. In Proceedings of the 3rd International Symposium on Wireless Pervasive Computing, Santorini, Greece, 7–9 May 2008. [Google Scholar]
- Hui, F.; Mohapatra, P. Experimental characterization of multi-hop communications in vehicular ad hoc network. In Proceedings of the ACM International Workshop on Vehicular Ad Hoc Networks, Cologne, Germany, 2 September 2005. [Google Scholar]
- Carmona, J.L. Cars Becoming Computers on Wheels. Caribb. Bus. 2014, 42, 4. [Google Scholar]
- Lee, U.; Park, J.-S.; Yeh, J.; Pau, G.; Gerla, M. Code Torrent: Content Distribution Using Network Coding in VANET. In Proceedings of the International Workshop on Decentralized Resource Sharing in Mobile Computing and Networking, Los Angeles, CA, USA, 25 July 2006. [Google Scholar]
- Sam, D.; Evangelin, E.; Raj, V.C. A Novel Idea to Improve Pedestrian Safety in Black Spots Using a Hybrid VANET of Vehicular and Body Sensors. In Proceedings of the International Conference on Innovation Information in Computing Technologies, Chennai, India, 9–20 February 2015. [Google Scholar]
- Caird, J.K.; Johnston, K.A.; Willness, C.R.; Asbridge, M.; Steel, P. A meta-analysis of the effects of texting on driving. Accid. Anal. Prev. 2014, 71, 311. [Google Scholar] [CrossRef] [PubMed]
- Strayer, D.L.; Drews, F.A.; Crouch, D.J. A comparison of the cell phone driver and the drunk driver. Hum. Factors 2006, 48, 381–391. [Google Scholar]
- Schwebel, D.C.; Stavrinos, D.; Byington, K.W.; Davis, T.; O’Neal, E.E.; De Jong, D. Distraction and pedestrian safety: How talking on the phone, texting, and listening to music impact crossing the street. Accid. Anal. Prev. 2012, 45, 266–271. [Google Scholar] [CrossRef] [PubMed]
- Stavrinos, D.; Byington, K.W.; Schwebel, D.C. Distracted walking: Cell phones increase injury risk for college pedestrians. J. Saf. Res. 2011, 42, 101–107. [Google Scholar] [CrossRef] [PubMed]
- Hatfield, J.; Murphy, S. The effects of mobile phone use on pedestrian crossing behaviour at signalized and unsignalized intersections. Accid. Anal. Prev. 2007, 39, 197–205. [Google Scholar] [CrossRef] [PubMed]
- Wu, X.; Subramanian, S.; Guha, R.; White, R.G.; Li, J.; Lu, K.W.; Bucceri, A.; Zhang, T. Vehicular Communications Using DSRC: Challenges, Enhancements, and Evolution. IEEE J. Sel. Areas Commun. 2013, 31, 399–408. [Google Scholar]
- Tahmasbi-Sarvestani, A.; Kazemi, H.; Fallah, Y.P.; Naserian, M.; Lewis, A. System Architecture for Cooperative Vehicle-Pedestrian Safety Applications Using DSRC Communication; SAE Technical Paper No. 2015-01-0290; SAE International: Warrendale, PA, USA, 2015. [Google Scholar] [CrossRef]
- Sugimoto, C.; Nakamura, Y. Provision of information support by pedestrian-to-vehicle communication system. In Proceedings of the International Conference on ITS Telecommunications, Phuket, Thailand, 24 October 2008. [Google Scholar]
- Anaya, J.J.; Merdrignac, P.; Shagdar, O.; Nashashibi, F.; Naranjo, J.E. Vehicle to pedestrian communications for protection of vulnerable road users. In Proceedings of the Intelligent Vehicles Symposium, Dearborn, MI, USA, 8–11 June 2014. [Google Scholar]
- Wu, X.; Miucic, R.; Yang, S.; Al-Stouhi, S.; Misener, J.; Bai, S.; Chan, W.-H. Cars Talk to Phones: A DSRC Based Vehicle-Pedestrian Safety System. In Proceedings of the Vehicular Technology Conference, Vancouver, BC, Canada, 14–17 September 2014. [Google Scholar]
- Vrabel, M. Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Oncol. Nurs. Forum 2015, 42, 552–554. [Google Scholar] [CrossRef] [PubMed]
- Sugimoto, C.; Nakamura, Y.; Hashimoto, T. Development of Pedestrian-to-Vehicle Communication System Prototype for Pedestrian Safety Using both Wide-Area and Direct Communication. In Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, Okinawa, Japan, 25–28 March 2008; pp. 64–69. [Google Scholar]
- Liu, Z.; Pu, L.; Zhu, K.; Zhang, L. Design and evaluation of V2X communication system for vehicle and pedestrian safety. J. China Univ. Posts Telecommun. 2015, 22, 18–26. [Google Scholar]
- Hagiwara, T.; Uchibori, D.; Hamaoka, H.; Hirano, R.; Hamaguchi, M.; Nakabayashi, S.; Munehiro, K.; Takemoto, A.; Suzuki, K. Data Transmission Performance of DSRC (5.8 GHz) typed Pedestrian-Vehicle Communication to Avoid Conflict between Right-Turn Vehicles and Pedestrians, Part 2. Int. J. Intell. Transp. Syst. Res. 2015, 13, 1–9. [Google Scholar]
- Kim, Y.; Kim, I.; Shim, C.Y. A taxonomy for DOS attacks in VANET. In Proceedings of the International Symposium on Communications and Information Technologies, Incheon, Korea, 24–26 September 2015. [Google Scholar]
- Merdrignac, P.; Shagdar, O.; Nashashibi, F. Fusion of Perception and V2P Communication Systems for the Safety of Vulnerable Road Users. IEEE Trans. Intell. Transp. Syst. 2016, 18, 1740–1751. [Google Scholar] [CrossRef]
- Artail, H.; Khalifeh, K.; Yahfoufi, M. Avoiding car-pedestrian collisions using a VANET to cellular communication framework. In Proceedings of the13th International Wireless Communications and Mobile Computing Conference (IWCMC), Valencia, Spain, 26–30 June 2017; pp. 458–465. [Google Scholar]
- Lewandowski, A.; Bocker, S.; Koster, V.; Wietfeld, C. Design and performance analysis of an IEEE 802.15.4 V2P pedestrian protection system. In Proceedings of the IEEE 5th International Symposium on Wireless Vehicular Communications (WiVeC), Dresden, Germany, 2–3 June 2014. [Google Scholar]
- Tang, S.; Saito, K.; Obana, S. Transmission control for reliable pedestrian-to-vehicle communication by using context of pedestrians. In Proceedings of the 2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES), Yokohama, Japan, 5–7 November 2015; pp. 41–47. [Google Scholar]
- Liu, Z.; Liu, Z.; Meng, Z.; Yang, X.; Pu, L.; Zhang, L. Implementation and performance measurement of a V2X communication system for vehicle and pedestrian safety. Int. J. Distrib. Sens. Netw. 2016, 12. [Google Scholar] [CrossRef]
- Sam, D.; Evangelin, E.; Raj, V.C. Improving road safety for pedestrians in black spots using a hybrid vanet of vehicular sensors and pedestrian body unit. ARPN J. Eng. Appl. Sci. 2015, 10, 4639–4644. [Google Scholar]
- Hussein, A.; García, F.; Armingol, J.M.; Olaverri-Monreal, C. P2V and V2P communication for Pedestrian warning on the basis of Autonomous Vehicles. In Proceedings of the IEEE International Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil, 1–4 November 2016. [Google Scholar]
- Yamaguchi, R.; Ikeda, D.; Nakanishi, Y.; Wada, T.; Okada, H. A cooperative reflect transmission scheme using road infrastructure in vehicle-PEdestrian communications. In Proceedings of the IEEE 68th Vehicular Technology Conference, Calgary, BC, Canada, 21–24 September 2008; pp. 1–5. [Google Scholar]
- Bagheri, M.; Siekkinen, M.; Nurminen, J.K. Cellular-based vehicle to pedestrian (V2P) adaptive communication for collision avoidance. In Proceedings of the International Conference on Connected Vehicles and Expo, Vienna, Austria, 3–7 November 2015. [Google Scholar]
- Lee, S.; Kim, D. An energy efficient vehicle to pedestrian communication method for safety applications. Wirel. Pers. Commun. 2015, 86, 1845–1856. [Google Scholar] [CrossRef]
- Ikeda, D.; Horie, M.; Yamaguchi, R.; Wada, T.; Okada, H. An effective algorithm of the relative movement between vehicles and pedestrians in VPEC. In Proceedings of the ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterization, Montreal, QU, Canada, 10 September 2007. [Google Scholar]
Accessing Items | Description | Scores |
---|---|---|
Accessing the Data Transmission Quality | ||
The packets lost rate | Include | 1 |
Not include | 0 | |
The distance of transmission | Include | 1 |
Not include | 0 | |
The obstacles | Include | 1 |
Not include | 0 | |
The speed of vehicles | Include | 1 |
Not include | 0 | |
The speed of pedestrians | Include | 1 |
Not include | 0 | |
Assessing the Validation Quality | ||
The data | Experimental data | 1 |
Real data | 2 | |
Simulation | Include | 1 |
Not include | 0 | |
Field experiment | Include | 1 |
Not include | 0 | |
The Accuracy of the Positioning | ||
The accuracy of the positioning device | Include | 1 |
Not include | 0 |
Lead Author (Year) | Location | Journal | Components of the System | Objective |
---|---|---|---|---|
Hassan Artail (2017) | America | Wireless communication and moble comuting | 1.LET network’s Location server 2.smartphone 3.Road Side Units | The main aim is to maximally avoid any road mortality and improve the pedestrian safety. |
Dahlia Sam (2016) | India | Vehicular Communication | 1.Vehicle nodes 2.Pedestrian body unit 3.Road Side Unit 4.Arduino microcontroller | This system use the detected information to check the chance of an accident occurring. |
Zishan Liu (2016) | China | International Journal of Distributed Sensor Networks | 1.The DSRC/LET/Wi-Fi OBU 2.The tablet inside the vehicle 3.Smart phone 4 The app server | Evaluating the performance of the communication system in terms of PDR and end-to-end latency. |
Pierre Merdrignac (2016) | France | IEEE Transactions on Intelligent Transportation System | 1.V2Pro Vu application 2.Wi-Fi module 3.laser sensors | Improving the safety of vnlunerable road users. |
Ahmed Hussein (2016) | Spain | Intelligent Transportation System | 1.location sensors 2.communciation module 3.smartphone | Reducing the risks related the use of mobile devices in a traffic context and decresing the accident exposure of pedestrians and other VRUs. |
Liu Zhenyu (2015) | China | The journal of China University of Posts and Telecommunications | 1.On-board unit 2.Wireless network cards 3.GPS 4.On-board diagnostic | 1 Guaranteeing the safety of people. 2 Verifying the reliability of the communication system. |
Sungwon Lee (2015) | Korea | Wireless Personal communication | 1.smartphone 2.Wi-Fi communication module | Inorer to provide energy efficient V2Pcommunication and reduce the collision between safety messages. |
Dahlia Sam (2015) | India | 2015 International Conference on Innovation in Computing Technologies | 1.Hybrid VANET System (vehicle nodes and Road Side Unit) 2 Body sensors | Giving an extra level of safety to the careless pedestrian who might be hit by driver. |
Dahlia Sam (2015) | India | Journal of Engineering and Applied Sciences | 1.Vehicle nodes 2.Wi-Fi module 3.Road Side Unit 4.Body sensor | Reducing the road accidents and death rate of pedestrian. |
Toru Hagiwara (2015) | Japan | The journal of Intelligent Transportation System | ---- | 1 Evaluating the performance of the pedestrian-vehicle DSRC communication system. 2 Determining the warning position. |
Suhua TANG (2015) | Japan | IEEE International Conference on Vehicular Electronics and Safety | 1.smartphone with GPS module 2.acceleration sensors 3.communication module | Improving the reliability of the safety system and reducing the traffic crashes. |
Xinzhou Wu (2014) | -- | Vehicular Technology Conference | 1.Android smartphone 2.On board equipment (GPS DSRC receiver controller) | Proving an always-on, highly accurate and low latency pedestrian collision warning system. |
Andreas Lewandowski (2014) | Germany | IEEE international symposium on wireless vehicular communication | 1.Mobile Unit 2.retrofit warning unit 3.IEEE802.15.4communication module | Focusing on the reasonability of alarming messages, with the aim to reduce false alarms to a minimum. |
Daniel Becker (2014) | Germany | The journal of Intelligent Transportation System | 1.Components Ad-hoc network and Client 2.Base station (application unit and car communication unit) 3.Monocular cameras | Enhancing the traffic safety, efficiency and comfort. |
Jose Javier (2014) | USA | Intelligent Vehicles Symposium | 1.Communication device (NexCom) 2.Samsung Galaxy | Providing road users to have the necessary amount of time to perceive the situation and react. |
Mehrdad Bagheri (2014) | Finland | International Conference on Connected Vehicle | 1.3G and LTE communication module 2.smartphone 3.cloud-based servers | Extending the battery life of the pedestrian communication device to better protect the safe of the pedestrian. |
Klaus David (2010) | Germany | Vehicular Technology Magazine | 1.GPS 2 Mobile phone 3.A central server 4.Radio communication system | Presenting an innovative approach to reduce accidents. |
Chika Sugimoto (2008) | Japan | 22nd International Conference on Advanced Information Networking and Applications | 1.Cellular phones 2.Car navigation systems 3.A server | Making each of a pedestrian and drivers find the other from out of sight. |
Chika Sugimoto (2008) | Japan | International Conference on Its Telecommunication | 1.Cellular phone 2.Car navigation system 3.A server | Providing information support for contributing to the prevention of pedestrian accidents. |
Ryohta YAMAGUCHI (2008) | Japan | IEEE Vehicular Technology | 1.personal computer 2.Wireless LAN 3.GPS receiver 4.pedestrian terminal | Exchanging the postion information between pedestrian and vehicle to reducing serious traffic accidents. |
Lead Author (Year) | Factors Influence the Data Transmission | ||||
---|---|---|---|---|---|
Obstacles | Transmission Distance | Under Dynamic Conditions | The Transmission Delay | Packets Lost Rate | |
Hassan Artail (2017) | √ | √ | |||
Zishan Liu (2016) | √ | √ | √ | √ | √ |
Merdrignac (2016) | √ | √ | √ | ||
Toru Hagiwara (2015) | √ | √ | |||
Liu zhenyu (2015) | √ | √ | √ | √ | √ |
Sungwon Lee (2015) | √ | √ | |||
Suhua TANG (2015) | √ | √ | |||
Xinzhou Wu (2014) | √ | √ | √ | √ | |
Lewandowski (2014) | √ | √ | |||
Jose Javier (2014) | √ | √ | √ | √ | √ |
Klaus David (2010) | √ | ||||
Chika Sugimoto (2008) | √ | √ | √ |
Lead Author (Year) | Journal | Positioning Device | Location Accuracy |
---|---|---|---|
Chika sugimoto (2008) | 22nd International Conference on Advanced Information Networking and Applications | Portable GPS | 10 m |
Javier (2014) | IEEE Intelligent Vehicles Symposium | GPS RTK GPS | 10 m |
Xinzhou Wu (2014) | Vehicular Technology Conference | GPS | 3 m |
Toru Hagiwara (2015) | The journal of Intelligent Transportation System | GPS Accelerometer Gyrocompass | 3 mm |
Accessing Items | Description | Score | Number of the Works | Percentage |
---|---|---|---|---|
Data Transmission Quality | ||||
The packets lost rate | Include | 1 | 5 | 25.0% |
Not include | 0 | 15 | 75.0% | |
The distance of transmission | Include | 1 | 11 | 55.0% |
Not include | 0 | 9 | 45.0% | |
Obstacles | Include | 1 | 6 | 30.0% |
Not include | 0 | 14 | 70.0% | |
Under dynamic situations | Include | 1 | 10 | 50.0% |
Not include | 0 | 10 | 50.0% | |
Accessing the Validation Quality | ||||
data | Real data | 2 | 0 | 0% |
Experimental data | 1 | 20 | 100% | |
Simulation | Include | 1 | 6 | 30.0% |
Not include | 0 | 14 | 70.0% | |
Experiment | Include | 1 | 15 | 75.0% |
Not include | 0 | 5 | 25.0% | |
Accessing the Accuracy of Positioning | ||||
The accuracy of position device | Include | 2 | 4 | 20.0% |
Not include | 1 | 16 | 80.0% |
© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Jing, P.; Huang, W.; Chen, L. Car-to-Pedestrian Communication Safety System Based on the Vehicular Ad-Hoc Network Environment: A Systematic Review. Information 2017, 8, 127. https://doi.org/10.3390/info8040127
Jing P, Huang W, Chen L. Car-to-Pedestrian Communication Safety System Based on the Vehicular Ad-Hoc Network Environment: A Systematic Review. Information. 2017; 8(4):127. https://doi.org/10.3390/info8040127
Chicago/Turabian StyleJing, Peng, Wei Huang, and Long Chen. 2017. "Car-to-Pedestrian Communication Safety System Based on the Vehicular Ad-Hoc Network Environment: A Systematic Review" Information 8, no. 4: 127. https://doi.org/10.3390/info8040127
APA StyleJing, P., Huang, W., & Chen, L. (2017). Car-to-Pedestrian Communication Safety System Based on the Vehicular Ad-Hoc Network Environment: A Systematic Review. Information, 8(4), 127. https://doi.org/10.3390/info8040127