Stochastic Traffic assignment with Electric Vehicles: a convex optimization approach Article Swipe
M. Aicardi
,
Giulio Ferro
,
R. Minciardi
,
Michela Robba
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ifacol.2023.10.139
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ifacol.2023.10.139
Electric vehicles and charging stations are increasing worldwide to reduce emissions at the city level. In order to analyze traffic flows and quantify the demand for energy recharge, it is necessary to model users' choices considering different kinds of traffic flows. In this paper, attention is focused on the formalization of the joint traffic and energy demand assignment conditions over a traffic network in presence of electric vehicles (EVs). Specifically, the so-called stochastic user equilibrium (SUE) conditions are used to define the steady state behaviour of a generic traffic network in which some arcs are equipped with EV charging stations. A convex optimization problem is defined and solved, which is equivalent to the solution of the nonlinear and nonconvex set of SUE conditions under a multinomial Logit user's choice function. A real case study, related to a touristic area in the Liguria Region (from Genova airport to Portofino), is considered.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ifacol.2023.10.139
- OA Status
- diamond
- Cited By
- 4
- References
- 13
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- OpenAlex ID
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https://openalex.org/W4388905360Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ifacol.2023.10.139Digital Object Identifier
- Title
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Stochastic Traffic assignment with Electric Vehicles: a convex optimization approachWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
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2023-01-01Full publication date if available
- Authors
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M. Aicardi, Giulio Ferro, R. Minciardi, Michela RobbaList of authors in order
- Landing page
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https://doi.org/10.1016/j.ifacol.2023.10.139Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.ifacol.2023.10.139Direct OA link when available
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Multinomial logistic regression, Mathematical optimization, Computer science, Electric vehicle, Convex optimization, Set (abstract data type), Regular polygon, Operations research, Engineering, Mathematics, Power (physics), Programming language, Quantum mechanics, Machine learning, Geometry, PhysicsTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 1, 2024: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.area | 138 |
| abstract_inverted_index.case | 132 |
| abstract_inverted_index.city | 13 |
| abstract_inverted_index.over | 59 |
| abstract_inverted_index.real | 131 |
| abstract_inverted_index.some | 92 |
| abstract_inverted_index.this | 42 |
| abstract_inverted_index.used | 78 |
| abstract_inverted_index.user | 73 |
| abstract_inverted_index.with | 96 |
| abstract_inverted_index.(SUE) | 75 |
| abstract_inverted_index.(from | 143 |
| abstract_inverted_index.Logit | 126 |
| abstract_inverted_index.flows | 20 |
| abstract_inverted_index.joint | 52 |
| abstract_inverted_index.kinds | 37 |
| abstract_inverted_index.model | 32 |
| abstract_inverted_index.order | 16 |
| abstract_inverted_index.state | 83 |
| abstract_inverted_index.under | 123 |
| abstract_inverted_index.which | 91, 108 |
| abstract_inverted_index.(EVs). | 68 |
| abstract_inverted_index.Genova | 144 |
| abstract_inverted_index.Region | 142 |
| abstract_inverted_index.choice | 128 |
| abstract_inverted_index.convex | 101 |
| abstract_inverted_index.define | 80 |
| abstract_inverted_index.demand | 24, 56 |
| abstract_inverted_index.energy | 26, 55 |
| abstract_inverted_index.flows. | 40 |
| abstract_inverted_index.level. | 14 |
| abstract_inverted_index.paper, | 43 |
| abstract_inverted_index.reduce | 9 |
| abstract_inverted_index.steady | 82 |
| abstract_inverted_index.study, | 133 |
| abstract_inverted_index.user's | 127 |
| abstract_inverted_index.users' | 33 |
| abstract_inverted_index.Liguria | 141 |
| abstract_inverted_index.airport | 145 |
| abstract_inverted_index.analyze | 18 |
| abstract_inverted_index.choices | 34 |
| abstract_inverted_index.defined | 105 |
| abstract_inverted_index.focused | 46 |
| abstract_inverted_index.generic | 87 |
| abstract_inverted_index.network | 62, 89 |
| abstract_inverted_index.problem | 103 |
| abstract_inverted_index.related | 134 |
| abstract_inverted_index.solved, | 107 |
| abstract_inverted_index.traffic | 19, 39, 53, 61, 88 |
| abstract_inverted_index.Electric | 0 |
| abstract_inverted_index.charging | 3, 98 |
| abstract_inverted_index.electric | 66 |
| abstract_inverted_index.equipped | 95 |
| abstract_inverted_index.presence | 64 |
| abstract_inverted_index.quantify | 22 |
| abstract_inverted_index.solution | 113 |
| abstract_inverted_index.stations | 4 |
| abstract_inverted_index.vehicles | 1, 67 |
| abstract_inverted_index.attention | 44 |
| abstract_inverted_index.behaviour | 84 |
| abstract_inverted_index.different | 36 |
| abstract_inverted_index.emissions | 10 |
| abstract_inverted_index.function. | 129 |
| abstract_inverted_index.necessary | 30 |
| abstract_inverted_index.nonconvex | 118 |
| abstract_inverted_index.nonlinear | 116 |
| abstract_inverted_index.recharge, | 27 |
| abstract_inverted_index.so-called | 71 |
| abstract_inverted_index.stations. | 99 |
| abstract_inverted_index.touristic | 137 |
| abstract_inverted_index.worldwide | 7 |
| abstract_inverted_index.assignment | 57 |
| abstract_inverted_index.conditions | 58, 76, 122 |
| abstract_inverted_index.equivalent | 110 |
| abstract_inverted_index.increasing | 6 |
| abstract_inverted_index.stochastic | 72 |
| abstract_inverted_index.Portofino), | 147 |
| abstract_inverted_index.considered. | 149 |
| abstract_inverted_index.considering | 35 |
| abstract_inverted_index.equilibrium | 74 |
| abstract_inverted_index.multinomial | 125 |
| abstract_inverted_index.optimization | 102 |
| abstract_inverted_index.Specifically, | 69 |
| abstract_inverted_index.formalization | 49 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5012101370, https://openalex.org/A5079061140, https://openalex.org/A5029096627, https://openalex.org/A5039477899 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I83816512 |
| citation_normalized_percentile.value | 0.66021024 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |