Vehicle flow prediction through probabilistic modeling

Within the area of wireless and mobile communications, ad hoc vehicular networks have generated the interest of different organizations, which has generated a topic of study and analysis for the increase of applications, devices, technology integration, security, standards, and quality of service in...

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Autores:
Silva, Jesús
Varela Izquierdo, Noel
Pineda, Omar
Álvarez, Vladimir
de la Hoz, Boris
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7787
Acceso en línea:
https://hdl.handle.net/11323/7787
https://doi.org/10.1007/978-981-15-4875-8_36
https://repositorio.cuc.edu.co/
Palabra clave:
Mobility
Probability
SPH
Vehicular flow
Markov chains
Stochastic model
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International
id RCUC2_71c65b6e19b0bcdc8aa777a5ac308d89
oai_identifier_str oai:repositorio.cuc.edu.co:11323/7787
network_acronym_str RCUC2
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repository_id_str
dc.title.spa.fl_str_mv Vehicle flow prediction through probabilistic modeling
title Vehicle flow prediction through probabilistic modeling
spellingShingle Vehicle flow prediction through probabilistic modeling
Mobility
Probability
SPH
Vehicular flow
Markov chains
Stochastic model
title_short Vehicle flow prediction through probabilistic modeling
title_full Vehicle flow prediction through probabilistic modeling
title_fullStr Vehicle flow prediction through probabilistic modeling
title_full_unstemmed Vehicle flow prediction through probabilistic modeling
title_sort Vehicle flow prediction through probabilistic modeling
dc.creator.fl_str_mv Silva, Jesús
Varela Izquierdo, Noel
Pineda, Omar
Álvarez, Vladimir
de la Hoz, Boris
dc.contributor.author.spa.fl_str_mv Silva, Jesús
Varela Izquierdo, Noel
Pineda, Omar
Álvarez, Vladimir
de la Hoz, Boris
dc.subject.spa.fl_str_mv Mobility
Probability
SPH
Vehicular flow
Markov chains
Stochastic model
topic Mobility
Probability
SPH
Vehicular flow
Markov chains
Stochastic model
description Within the area of wireless and mobile communications, ad hoc vehicular networks have generated the interest of different organizations, which has generated a topic of study and analysis for the increase of applications, devices, technology integration, security, standards, and quality of service in different areas (Zhu et al. in IEEE Trans Veh Technol 64(4):1607–1619, [1]) and (Tian et al. in A self-adaptive V2V communication system with DSRC, pp 1528–1532, [2]). This study on vehicle networks shows a great deal of opportunity and motivation to deepen the aspects that involve it, which have emerged due to the advance of wireless technologies, as well as research in the automotive industry. This allows the development of networks with spontaneous topologies with vehicles in constant movement in several simulations (Mir and Filali in LTE and IEEE 802.11p for vehicular networking: a performance evaluation, pp 1–15, [3]), with reliable vehicle flows, through the share of traffic information, considering that continuous mobility is an essential characteristic of a VANET vehicle network, which can have short changes in terms of groups of vehicles in the same direction (Lokhande and Khamitkar, 9(12):30–33, [4]). The following paper uses a road scenario called VANET to obtain a predictive characterization of vehicle flow using a probabilistic model.
publishDate 2020
dc.date.issued.none.fl_str_mv 2020
dc.date.accessioned.none.fl_str_mv 2021-01-28T13:01:51Z
dc.date.available.none.fl_str_mv 2021-01-28T13:01:51Z
dc.type.spa.fl_str_mv Artículo de revista
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https://doi.org/10.1007/978-981-15-4875-8_36
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dc.relation.references.spa.fl_str_mv 1. Zhu, W., Li, D., Saad, W.: Multiple vehicles collaborative data download protocol via network coding. IEEE Trans. Veh. Technol. 64(4), 1607–1619 (2015)
2. Tian, D., Luo, H., Zhou, J., Wang, Y., Yu, G.: A self-adaptive V2V communication system with DSRC. In: 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, pp. 1528–1532 (2013)
3. Mir, Z.H., Filali, F.: LTE and IEEE 802.11p for Vehicular Networking: A Performance Evaluation, pp. 1–15 (2014)
4. Lokhande, S.N., Khamitkar S.D.: Design and simulation of wireless ad hoc network using NS2 simulator. 9(12), 30–33 (2014)
5. Sadek, N.M., Halawa, H.H., Daoud, R.M., Amer, H.H.: A Robust Multi-RAT VANET/LTE for Mixed Control and Entertainment Traffic, pp. 113–121 (2015)
6. Ndashimye, E., Ray, S.K., Sarkar, N.I., Gutiérrez, J.A.: Vehicle-to-infrastructure communication over multi-tier heterogeneous networks: a survey. Comput. Netw. (2016)
7. Garg, N., Rani, P.: An improved AODV routing protocol for VANET (Vehicular Ad-hoc Network). 4(6), 1885–1890 (2015)
8. Abada, D., Massaq, A., Boulouz, A., Salah, M.B.: An adaptive vehicular relay and gateway selection scheme for connecting VANETs to internet via 4G LTE cellular network. In: Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks, pp. 149–163. Springer, Cham (2020)
9. Zheng, Y., Luo, J., Zhong, T.: Service recommendation middleware based on location privacy protection in VANET. IEEE Access 8, 12768–12783 (2020)
10. Obaidat, M., Khodjaeva, M., Holst, J., Zid, M.B.: Security and privacy challenges in vehicular ad hoc networks. In: Connected Vehicles in the Internet of Things, pp. 223–251. Springer, Cham (2020)
11. Tang, Y., Cheng, N., Wu, W., Wang, M., Dai, Y., Shen, X.: Delay-minimization routing for heterogeneous VANETs with machine learning based mobility prediction. IEEE Trans. Veh. Technol. 68(4), 3967–3979 (2019)
12. Srivastava, A., Prakash, A., Tripathi, R.: Location based routing protocols in VANET: issues and existing solutions. Veh. Commun. 100231 (2020)
13. Ahmad, I., Noor, R.M., Zaba, M.R., Qureshi, M.A., Imran, M., Shoaib, M.: A cooperative heterogeneous vehicular clustering mechanism for road traffic management. Int. J. Parallel Program. 1–20 (2019)
14. Nkenyereye, L., Nkenyereye, L., Islam, S.M., Choi, Y.H., Bilal, M., Jang, J.W.: Software-defined network-based vehicular networks: a position paper on their modeling and implementation. Sensors 19(17), 3788 (2019)
15. Viloria, A., Bonerge Pineda Lezama, O.: Improvements for Determining the Number of Clusters in k-Means for Innovation Databases in SMEs. ANT/EDI40, pp. 1201–1206 (2019)
16. Amelec, V.: Increased efficiency in a company of development of technological solutions in the areas commercial and of consultancy. Adv. Sci. Lett. 21(5), 1406–1408 (2015)
17. Zhang, Y., Wang, R., Hossain, M.S., Alhamid, M.F., Guizani, M.: Heterogeneous information network-based content caching in the internet of vehicles. IEEE Trans. Veh. Technol. 68(10), 10216–10226 (2019)
18. Sharma, T.P., Sharma, A.K.: Heterogeneous-internet of vehicles (Het-IoV) in twenty-first century: a comprehensive Study. In: Handbook of Computer Networks and Cyber Security, pp. 555–584. Springer, Cham (2020)
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spelling Silva, JesúsVarela Izquierdo, NoelPineda, OmarÁlvarez, Vladimirde la Hoz, Boris2021-01-28T13:01:51Z2021-01-28T13:01:51Z2020https://hdl.handle.net/11323/7787https://doi.org/10.1007/978-981-15-4875-8_36Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Within the area of wireless and mobile communications, ad hoc vehicular networks have generated the interest of different organizations, which has generated a topic of study and analysis for the increase of applications, devices, technology integration, security, standards, and quality of service in different areas (Zhu et al. in IEEE Trans Veh Technol 64(4):1607–1619, [1]) and (Tian et al. in A self-adaptive V2V communication system with DSRC, pp 1528–1532, [2]). This study on vehicle networks shows a great deal of opportunity and motivation to deepen the aspects that involve it, which have emerged due to the advance of wireless technologies, as well as research in the automotive industry. This allows the development of networks with spontaneous topologies with vehicles in constant movement in several simulations (Mir and Filali in LTE and IEEE 802.11p for vehicular networking: a performance evaluation, pp 1–15, [3]), with reliable vehicle flows, through the share of traffic information, considering that continuous mobility is an essential characteristic of a VANET vehicle network, which can have short changes in terms of groups of vehicles in the same direction (Lokhande and Khamitkar, 9(12):30–33, [4]). The following paper uses a road scenario called VANET to obtain a predictive characterization of vehicle flow using a probabilistic model.Silva, JesúsVarela Izquierdo, Noel-will be generated-orcid-0000-0001-7036-4414-600Pineda, Omar-will be generated-orcid-0000-0002-8239-3906-600Álvarez, Vladimirde la Hoz, Borisapplication/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Smart Innovation, Systems and Technologieshttps://link.springer.com/chapter/10.1007/978-981-15-4875-8_36MobilityProbabilitySPHVehicular flowMarkov chainsStochastic modelVehicle flow prediction through probabilistic modelingArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. Zhu, W., Li, D., Saad, W.: Multiple vehicles collaborative data download protocol via network coding. IEEE Trans. Veh. Technol. 64(4), 1607–1619 (2015)2. Tian, D., Luo, H., Zhou, J., Wang, Y., Yu, G.: A self-adaptive V2V communication system with DSRC. In: 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, pp. 1528–1532 (2013)3. Mir, Z.H., Filali, F.: LTE and IEEE 802.11p for Vehicular Networking: A Performance Evaluation, pp. 1–15 (2014)4. Lokhande, S.N., Khamitkar S.D.: Design and simulation of wireless ad hoc network using NS2 simulator. 9(12), 30–33 (2014)5. Sadek, N.M., Halawa, H.H., Daoud, R.M., Amer, H.H.: A Robust Multi-RAT VANET/LTE for Mixed Control and Entertainment Traffic, pp. 113–121 (2015)6. Ndashimye, E., Ray, S.K., Sarkar, N.I., Gutiérrez, J.A.: Vehicle-to-infrastructure communication over multi-tier heterogeneous networks: a survey. Comput. Netw. (2016)7. Garg, N., Rani, P.: An improved AODV routing protocol for VANET (Vehicular Ad-hoc Network). 4(6), 1885–1890 (2015)8. Abada, D., Massaq, A., Boulouz, A., Salah, M.B.: An adaptive vehicular relay and gateway selection scheme for connecting VANETs to internet via 4G LTE cellular network. In: Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks, pp. 149–163. Springer, Cham (2020)9. Zheng, Y., Luo, J., Zhong, T.: Service recommendation middleware based on location privacy protection in VANET. IEEE Access 8, 12768–12783 (2020)10. Obaidat, M., Khodjaeva, M., Holst, J., Zid, M.B.: Security and privacy challenges in vehicular ad hoc networks. In: Connected Vehicles in the Internet of Things, pp. 223–251. Springer, Cham (2020)11. Tang, Y., Cheng, N., Wu, W., Wang, M., Dai, Y., Shen, X.: Delay-minimization routing for heterogeneous VANETs with machine learning based mobility prediction. IEEE Trans. Veh. Technol. 68(4), 3967–3979 (2019)12. Srivastava, A., Prakash, A., Tripathi, R.: Location based routing protocols in VANET: issues and existing solutions. Veh. Commun. 100231 (2020)13. Ahmad, I., Noor, R.M., Zaba, M.R., Qureshi, M.A., Imran, M., Shoaib, M.: A cooperative heterogeneous vehicular clustering mechanism for road traffic management. Int. J. Parallel Program. 1–20 (2019)14. Nkenyereye, L., Nkenyereye, L., Islam, S.M., Choi, Y.H., Bilal, M., Jang, J.W.: Software-defined network-based vehicular networks: a position paper on their modeling and implementation. Sensors 19(17), 3788 (2019)15. Viloria, A., Bonerge Pineda Lezama, O.: Improvements for Determining the Number of Clusters in k-Means for Innovation Databases in SMEs. ANT/EDI40, pp. 1201–1206 (2019)16. Amelec, V.: Increased efficiency in a company of development of technological solutions in the areas commercial and of consultancy. Adv. Sci. Lett. 21(5), 1406–1408 (2015)17. Zhang, Y., Wang, R., Hossain, M.S., Alhamid, M.F., Guizani, M.: Heterogeneous information network-based content caching in the internet of vehicles. IEEE Trans. Veh. Technol. 68(10), 10216–10226 (2019)18. Sharma, T.P., Sharma, A.K.: Heterogeneous-internet of vehicles (Het-IoV) in twenty-first century: a comprehensive Study. In: Handbook of Computer Networks and Cyber Security, pp. 555–584. 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