Multiagent Routing Simulation with Partial Smart Vehicles Penetration
The invention and implementation of smart connected cars will change the way how the transportation networks in cities around the world operate. This technological shift will not happen instantaneously—for many years, both human-driven and smart connected vehicles will coexist. In this paper, using...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/3152020 |
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| _version_ | 1832561302104440832 |
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| author | Bogumił Kamiński Łukasz Kraiński Atefeh Mashatan Paweł Prałat Przemysław Szufel |
| author_facet | Bogumił Kamiński Łukasz Kraiński Atefeh Mashatan Paweł Prałat Przemysław Szufel |
| author_sort | Bogumił Kamiński |
| collection | DOAJ |
| description | The invention and implementation of smart connected cars will change the way how the transportation networks in cities around the world operate. This technological shift will not happen instantaneously—for many years, both human-driven and smart connected vehicles will coexist. In this paper, using a multiagent simulation framework, we model a complex urban transportation system that involves heterogeneous participants. Vehicles are assigned into two groups: the first one consists of smart cars and the second one involves regular ones. Vehicles in the former group are capable of rerouting in response to changes in the observed traffic while regular ones rely on historical information only. The goal of the paper is to analyze the effect of changing smart cars penetration on system characteristics, in particular, the total travelling time. The smart car routing algorithm proposed in this paper reduced travelling time up to 30%. Analysis has shown that the behaviour of the system and optimal configuration of underlying algorithms change dynamically with smart vehicles penetration level. |
| format | Article |
| id | doaj-art-973ffa2c4c004852a4ddaeda6f004c47 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-973ffa2c4c004852a4ddaeda6f004c472025-02-03T01:25:26ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/31520203152020Multiagent Routing Simulation with Partial Smart Vehicles PenetrationBogumił Kamiński0Łukasz Kraiński1Atefeh Mashatan2Paweł Prałat3Przemysław Szufel4SGH Warsaw School of Economics, Warsaw, PolandSGH Warsaw School of Economics, Warsaw, PolandRyerson University, Toronto, CanadaRyerson University, Toronto, CanadaSGH Warsaw School of Economics, Warsaw, PolandThe invention and implementation of smart connected cars will change the way how the transportation networks in cities around the world operate. This technological shift will not happen instantaneously—for many years, both human-driven and smart connected vehicles will coexist. In this paper, using a multiagent simulation framework, we model a complex urban transportation system that involves heterogeneous participants. Vehicles are assigned into two groups: the first one consists of smart cars and the second one involves regular ones. Vehicles in the former group are capable of rerouting in response to changes in the observed traffic while regular ones rely on historical information only. The goal of the paper is to analyze the effect of changing smart cars penetration on system characteristics, in particular, the total travelling time. The smart car routing algorithm proposed in this paper reduced travelling time up to 30%. Analysis has shown that the behaviour of the system and optimal configuration of underlying algorithms change dynamically with smart vehicles penetration level.http://dx.doi.org/10.1155/2020/3152020 |
| spellingShingle | Bogumił Kamiński Łukasz Kraiński Atefeh Mashatan Paweł Prałat Przemysław Szufel Multiagent Routing Simulation with Partial Smart Vehicles Penetration Journal of Advanced Transportation |
| title | Multiagent Routing Simulation with Partial Smart Vehicles Penetration |
| title_full | Multiagent Routing Simulation with Partial Smart Vehicles Penetration |
| title_fullStr | Multiagent Routing Simulation with Partial Smart Vehicles Penetration |
| title_full_unstemmed | Multiagent Routing Simulation with Partial Smart Vehicles Penetration |
| title_short | Multiagent Routing Simulation with Partial Smart Vehicles Penetration |
| title_sort | multiagent routing simulation with partial smart vehicles penetration |
| url | http://dx.doi.org/10.1155/2020/3152020 |
| work_keys_str_mv | AT bogumiłkaminski multiagentroutingsimulationwithpartialsmartvehiclespenetration AT łukaszkrainski multiagentroutingsimulationwithpartialsmartvehiclespenetration AT atefehmashatan multiagentroutingsimulationwithpartialsmartvehiclespenetration AT pawełprałat multiagentroutingsimulationwithpartialsmartvehiclespenetration AT przemysławszufel multiagentroutingsimulationwithpartialsmartvehiclespenetration |