Developing a Dynamic Traffic Assignment Model for Large-Scale Networks: A Case Study in the City of Yazd, Iran

Banadaki, Hamid Dehghan; Saffarzadeh, Mahmoud; Zoghi, Hassan

doi:10.1007/s12205-021-1684-3

Cited by 2 publications

(1 citation statement)

References 28 publications

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“…With the development of dynamic traffic flow assignment research, based on increasingly sophisticated theoretical models and algorithms, scholars have gradually extended the study of dynamic traffic flow theory to traffic management and the application of models in multiple traffic modes, including private car traffic, public transportation, and slow-moving traffic [16][17][18][19][20]. Kamel et al [21] developed a simulation-based dynamic assignment model for cars and transit that preserves the interactions between the assignment processes of two traffic modes in a large network in the Greater Toronto Area during the morning peak.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai

Song

Zheng

Wang

et al. 2021

Sensors

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Dynamic traffic flow, which can facilitate the efficient operation of traffic road networks, is an important prerequisite for the application of reasonable assignment of traffic demands in an urban road network. In order to improve the accuracy of dynamic traffic flow assignment, this paper proposes a dynamic traffic flow assignment model based on GPS trajectory data and the influence of POI. First, this paper explores the impact patterns of POI on regional road network congestion during peak hours through qualitative and quantitative analysis. Then, based on the user equilibrium theory, a dynamic traffic flow assignment model, in which the effect of POI on links is reflected using the link-node impedance function, is proposed. Finally, the accuracy of the model is validated by the GPS trajectory data and origin–destination (OD) traffic data of motor vehicles in Xuhui District, Shanghai, China. The results show that the model can be used to coordinate and optimize the traffic assignment of the regional road network under the influence of POI during peak hours and alleviate the congestion of the road network. The findings can provide a powerful reference for developing scientific and rational traffic assignment decisions and management strategies for urban road network traffic.

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Section: Introductionmentioning

confidence: 99%

Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai

Song

Zheng

Wang

et al. 2021

Sensors

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Negative Effect Prediction and Refueling Traffic Flow Equilibrium of Urban Energy Supply Network during Weekends and Holidays

Zuo-fa

Zou

et al. 2023

Applied Sciences

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With the continuous improvement of people’s living standards, the travel demand for vehicles increases rapidly during weekends and holidays. This situation leads to a number of negative impacts on the transport network, such as traffic congestion, carbon emissions, and long queues at refueling stations. The impact of vehicles requiring energy replenishment on the negative effect is nonlinear. Therefore, the negative effect data of working days cannot be directly used to evaluate the cost, and the traffic equilibrium allocation problem also needs to be solved. An equilibrium allocation model of hybrid vehicles considering the energy replenishment demand in holidays is established, aiming at minimizing the total time cost and energy consumption cost. The Frank–Wolfe algorithm is used to solve the traffic allocation problem in advance, and the negative effect of the urban energy network during holidays is predicted by the Genetic Algorithm—Back Propagation (GA-BP) algorithm. Then, the energy-replenishing vehicles in the traffic network are induced to reduce the total cost. Finally, taking the actual road network in Jiulongpo District of Chongqing City, southwest of China, as an example, the negative effects of multiple stations are predicted. The results show that the prediction method proposed in this paper is effective during holiday periods. In addition, as the market share of electric vehicles increases, the negative cost can decrease gradually. The predicted results can provide a reference for traffic managers.

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Developing a Dynamic Traffic Assignment Model for Large-Scale Networks: A Case Study in the City of Yazd, Iran

Cited by 2 publications

References 28 publications

Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai

Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai

Negative Effect Prediction and Refueling Traffic Flow Equilibrium of Urban Energy Supply Network during Weekends and Holidays

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