January 2024
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35 Reads
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3 Citations
Transportation Research Part C Emerging Technologies
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January 2024
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35 Reads
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3 Citations
Transportation Research Part C Emerging Technologies
November 2023
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1 Read
October 2023
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24 Reads
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4 Citations
Travel Behaviour and Society
September 2023
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5 Reads
Journal of Cleaner Production
July 2023
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42 Reads
Applied Sciences
In this paper, the macroscopic traffic states and network traffic dynamics during the Qingming Festival holiday are explored with the Macroscopic Fundament Diagram (MFD), including the weekday before the holiday (WBH), the day of Qingming Festival (DQF), and the ordinary weekday (OW). The network is heterogeneous on the densities’ distribution, and the congested areas are different in location and size. Normalized Cut (Ncut) algorithm is used to partition the heterogeneous network into multiple homogeneous subregions. The MFD of each subregion is distributed within the critical density on the WBH, and the high-density region moves from the city center to the periphery. On the DQF, high-density areas are on the central and west of the urban network. The congested branch appears on the MFD of the subregion. Then, two calibrated dynamic models, are applied to analyze the network evolution based on the partitioning results. On the basis of the calibrated model, several control strategies are proposed to relieve regional congestion on holidays. According to the simulation results, congestion on the DQF can be alleviated by controlling the external inflow ratio of subregion 2 or limiting the amount of traffic entering subregion 2 from the outside.
June 2023
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4 Reads
June 2023
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35 Reads
Journal of Intelligent & Fuzzy Systems
Due to uncertain factors such as weather, large-scale flight delays will occur on the ground at the airport. A reasonable and effective flight sequence can make the airport resume regular operation as soon as possible. However, limited shuttle bus resources will limit the execution of the flight sequence plan. In order to provide decision support for airport authorities, we establish an integrated optimization model for flight sequences that consider shuttle bus resources. The objective function comprehensively considers the operational losses, airline profit losses, and loss of passenger time value. Then we design a multi-chromosome genetic algorithm to solve the model according to the characteristics of the integration problem. In addition, a simulation experiment is conducted based on the data from Yunnan Kunming Changshui International Airport. The simulation experiment results show that compared with the current first-come-first-served (FCFS) strategy, the algorithm reduces the overall loss caused by delays by 7.03%. The results of the simulation example verify the effectiveness of the proposed model and algorithm.
April 2023
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1 Read
January 2023
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1 Read
SSRN Electronic Journal
December 2022
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12 Reads
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1 Citation
... GNNs are also used for studying taxi trips. For example, Wang et al. (2024) developed a spatio-temporal GNN model for taxi route assignment. Tygesen et al. (2023) conduct experiments on NYC Yellow Taxi and provide insights on the kinds of connections GNNs use for spatio-temporal predictions in the transport domain. ...
January 2024
Transportation Research Part C Emerging Technologies
... Multiobjective optimization algorithms, as an effective method for solving resource allocation problems, play a particularly important role in the allocation of resources within intelligent manufacturing. By optimizing multiple objectives simultaneously, a more comprehensive consideration of various constraints and demands during the production process is facilitated, achieving optimal resource allocation [6][7][8]. ...
December 2022
... Other attributes are included with the coefficients as specified by Equation 1, 2, and 4. Finally, we hypothesized that socioeconomic and travel variables could influence the choice among the alternatives. Based on this a priori hypothesis established from the literature review, socio-economic and travel variables are included: age and annual household income are introduced as continuous variables, and dummies on trip purposes are also included (Malokin et al., 2019;Zhou et al., 2023;Haboucha et al., 2017;Tu et al., 2022;Cyganski et al., 2015). Similarly, the systematic utility of Self-owned AV (SO AV) is defined, as shown in Equation 6. ...
October 2023
Travel Behaviour and Society
... The effects of signal coordination on the MFD were investigated in [32], which stated that the impacts of the strategies were sensitive to the signal cycle length chosen (60 s, 90 s, 120 s), and a poor signal coordination reduces the network capacity and the free-flow speed. Other variables that affect the MFD include junction regulation [33], traffic signals [34][35][36], network spatial characteristics [37], buses [38], large-scale activities [39], autonomous vehicles [40][41][42][43], turning traffic [44], rainfall [45], ride pooling [46], bicycle traffic [47], traffic incidents [48], the position of the loop detectors [49], and network heterogeneity [50]. ...
July 2022
Transportation Research Part A Policy and Practice
... Let us discuss the research developed so far in an actuarial context. In this regard, some papers have focused on the prediction of signals using other telematics and traditional covariates (see Sun et al. (2021) and Guillén et al. (2020)). Both papers benefited from the high-frequency setting of signals when performing their analysis. ...
June 2021
Entropy
... Companies like Tesla and Waymo have already done quite a good amount of research in this area, but still, it is far from perfect. The issues related to incompetency, infrastructure, and driving scenarios are the primary area of contributions done by many researchers [8][9][10][11]. Apart from that, human safety is a significant concern that is related to driver-less cars application development. Perfection should be accurate because human life should not be dealt with chances. ...
December 2020
SAE Technical Papers
... GA has been also used as an optimisation tool in a multitude of applications involving airport operations management. Liang et al. (2020) use an adaptive parallel genetic algorithm (APGA) to solve the gate assignment problem. It is claimed to be effective because it introduces the idea of elite strategy and parallel design and can adaptively adjust the crossover probability. ...
December 2020
... Te reason is, in an airport, there are always two styles of stands, which are remote stands and the stands with boarding gates, which will be called "gated stands" in the rest of this paper. Using gated stands can increase passenger satisfaction [6]. If passengers board a fight at a gated stand, passengers can directly board the aircraft through the gate, which means the boarding distance can be considered as the walking distance. ...
November 2020
... In order to conduct a thorough examination of telematics data and accident data, it is imperative to adopt a comprehensive perspective on the concept of risky driving. Insurance companies typically possess comprehensive knowledge regarding accidents, specifically the extent of their severity, as well as the driver's previous history (Sun et al., 2020). Telematics service providers gather data pertaining to road conditions and driving behavior. ...
May 2020
Sensors
... Moreover, individuals from women and other genders are less interested in increasing the usage of this particular mode of transportation compared to their male counterparts. This aligns with findings from a prior study, which reported that men have a 4.3 times greater likelihood of using rental cars than women (Bi et al., 2020). However, the study also reveals that non-White e-scooter users and users with no automobile ownership are more likely to increase their usage of rental cars. ...
March 2020