Location Design of Electrification Road in Transportation Networks for On-Way Charging

Qiu, Yue; Du, Yong; Yu, Shanchuan; Jiang, Shengchuan

doi:10.1155/2020/7096767

Cited by 5 publications

(4 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A typical representative transportation NDP involves the layout of charging facilities (or other infrastructure). For example, Qiu et al [52] addressed an optimization problem for the layout design of an electrifed road for EVs. Based on the classic UE theory proposed by Wardrop [36], the authors established the equilibrium conditions of the transportation network and constructed a network design model.…”

Section: Modeling Approachmentioning

confidence: 99%

A Battery Electric Vehicle Transportation Network Design Model with Bounded Rational Travelers

Xin

Zhang

et al. 2023

Journal of Advanced Transportation

Self Cite

View full text Add to dashboard Cite

With governments worldwide emphasizing environmental protection and the global focus on carbon reduction, the battery electric vehicle (BEV) industry has developed rapidly. An urban transportation network with BEVs as the main form of transportation will soon become mainstream. Motivated by the abovementioned background, a BEV transportation network design problem is investigated, and a network design model is established. The model aims to minimize the system travel time of BEV transportation networks and optimize the government’s lane expansion scheme (the location and number of lanes) under a limited budget. To consider the travel characteristics of BEV drivers, the charging time, range anxiety, and bounded rationality factors are simultaneously incorporated into the model. A heuristic algorithm is designed based on the active set algorithm to obtain the local optimal solution to the actual-scale problem. Moreover, a cutting-plane method is used to convert the original problem into a different form, and a column generation technique is embedded in the abovementioned algorithm to avoid the enumeration of paths. Sensitivity analyses of different levels of rationality of BEV drivers and government investment scales are performed. The experimental results demonstrate that the model and algorithm can effectively solve the problem and provide decision support for the government in formulating transportation infrastructure construction policies.

show abstract

Section: Modeling Approachmentioning

confidence: 99%

A Battery Electric Vehicle Transportation Network Design Model with Bounded Rational Travelers

Xin

Zhang

et al. 2023

Journal of Advanced Transportation

Self Cite

View full text Add to dashboard Cite

show abstract

“…A typical representative transportation network design problems involves the layout of charging facilities (or other infrastructure). For example, Qiu et al (2020) addressed an optimization problem for the layout design of an electrified road for electric vehicles. Based on the classic UE theory proposed by Wardrop (1952), the authors established the equilibrium conditions of the transportation network and constructed a network design model.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal lane expansion model for electric vehicle transportation networks with bounded rational travelers

Xin

Wang

Chen

et al. 2022

Preprint

View full text Add to dashboard Cite

With governments worldwide emphasizing environmental protection and the global focus on carbon reduction, the battery electric vehicle (BEV) industry has developed rapidly. Urban transportation network with BEVs as the main form of transportation will soon be formed. Thus, we investigate a BEV transportation network design problem, and a lane expansion model is established. The abovementioned model aims to minimize the system travel time of BEV transportation networks and optimize government lane expansion schemes under limited budgets. To consider the travel characteristics of BEV drivers, range anxiety and bounded rationality factors are simultaneously incorporated into the model framework. A heuristic algorithm is designed based on the active set algorithm to obtain the local optimal solution of the actual scale problem. Moreover, a column generation technique is embedded in the abovementioned algorithm to avoid the enumeration of paths. Sensitivity analyses of different levels of rationality and government investment scales are performed. The experimental results demonstrate that the abovementioned model and algorithm effectively solve the considered problem and provide decision support for the government in formulating transportation planning policies.JEL Code: C61; D58; H54; R42; R53

show abstract

“…In recent years, there has been a growing interest in two mutually interacting topics related to EVCI, i.e., (1) the location of EVCSs or the design of their network [12][13][14][15][16][17][18][19][20][21] (supply perspective) and (2) the modeling of EV usage (demand perspective), which includes planning their routes and strategies of vehicle charging [18,[22][23][24][25][26][27][28][29][30][31][32][33][34][35]. One of the problems related to the modeling of EV usage is the relative scarcity of real-world data, especially when compared to cars powered by internal combustion engines (ICEs).…”

Section: State Of the Art In Evcs Locationmentioning

confidence: 99%

“…There are nonempty sets of objects to define all criteria, including set of stops of primary (15) and secondary (16) public transport systems, urban zones (17), arcs of the main road system (18), general stores (19), DIY stores (20), industrial areas (21) and traffic analysis zones (22). There is also a sufficient, i.e., greater than expected, number of potential EVCS locations (23). Finally, the number of EVCS locations in each of the alternatives is limited and is N (24).…”

Section: Stage 2-construction Of Evaluation Criteriamentioning

confidence: 99%

Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem

et al. 2021

View full text Add to dashboard Cite

The article presents the issue of designing a network of electric vehicle charging stations (EVCSs) for servicing passenger and commercial vehicles and taking into account the already existing locations. The authors propose a five-stage multicriteria- and GIS-based EVCS location methodology (5MAGISEV) for designing the EVCS network that includes defining potential EVCS locations (stage 1), constructing a family of evaluation criteria (stage 2), generating alternatives (stage 3), selecting an appropriate multiple criteria decision aid method (stage 4) and conducting a multicriteria evaluation of alternatives (stage 5). The methodology was verified by its experimental application for solving the problem of EVCS location in Poznan, Poland. As a result of its application, a set of over 155,000 alternatives was generated in view of different EVCS location determination policies. A family of eight criteria with subcriteria was proposed to assess the solutions, including the evaluation of the degree of integration of the considered EVCSs with such issues as public transport (C1); urbanized areas (C2); main road network (C3); industrial areas (C4); and the location with respect to transport areas (C5), shops of various types (C6), address points (C7) and DYI stores (C8). Based on the selected method of multiple criteria decision aid (LBS), a solution was selected that constitutes a compromise design of the EVCS network.

show abstract

Location Design of Electrification Road in Transportation Networks for On-Way Charging

Cited by 5 publications

References 29 publications

A Battery Electric Vehicle Transportation Network Design Model with Bounded Rational Travelers

A Battery Electric Vehicle Transportation Network Design Model with Bounded Rational Travelers

Optimal lane expansion model for electric vehicle transportation networks with bounded rational travelers

Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem

Contact Info

Product

Resources

About