
Dongfan XieBeijing Jiaotong University | NJTU
Dongfan Xie
Doctor of Philosophy
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71
Publications
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Introduction
Skills and Expertise
Publications
Publications (71)
Connected and Automated Vehicles (CAVs) forming platoons have shown significant potential in enhancing traffic flow. Model Predictive Control (MPC) is one of the most effective control strategies for CAV platoons, typically employing either constant spacing (CS) or constant time gap (CTG) spacing policies to ensure safety and smooth operation. Howe...
This paper proposes an event-triggered mechanism-based multi-mode platoon control model that can adaptively adjust the control mode based on traffic conditions and platoon dynamics. The proposed model uses a combination of a platoon control model based on Model Predictive Control (MPC) with an efficient linear quadratic regulator (LQR) to achieve r...
As the existing layout schemes of static wireless charging (SWC) facilities often neglect battery degradation costs, this paper proposes a layout optimization method of SWC facilities for electric buses by considering battery degradation characteristics. Firstly, by considering the operation characteristics of electric
buses under opportunity char...
Due to the characteristics of electric buses, such as mileage limitations, multiple charging modes, and long charging times, traditional vehicle scheduling and driver scheduling strategies cannot meet the requirements for electric bus line scheduling. To address this issue, we propose a collaborative optimization model for establishing vehicle sche...
Data-driven car-following models provide an alternative approach to explore the underlying and complex driving behavior, while they suffer from poor generalization ability that makes it difficult to be applied to traffic simulations. To address this issue, this paper proposes an attention-based data fusion car-following (ABF-CF) model. In the ABF-C...
Airport ferry vehicles are used to transport passengers between the far apron and terminals. During the peak hours of flight arrival or departure, the demand for ferry vehicles will increase, and improper scheduling will result in significant delays. In this study, we construct a 0–1 integer programming scheduling model for ferry vehicles with mult...
Large-scale activities always have serious impacts on regional traffic states. It is necessary for traffic planners to investigate the characteristics of network traffic flow under large-scale activities and apply proper management strategies. In this paper, based on the field data in Tianjin, China, the impact of large-scale activities and the cor...
In alignment with climate change, the European Union endeavors to accelerate the electrification progress of the public transit system. In particular, Copenhagen in Denmark and Oslo in Norway develop a blueprint to have 100% public transit electrification by 2030 and 2028, respectively. In this study, the lifecycle approach is applied to explore th...
The prediction of taxi time plays a primary role. To improve the accuracy and portability of prediction, the Informer-RFR (Informer-Random Forest Regression) model was proposed. First, each gate's average taxi time series is clustered, and then an Informer model is trained for each cluster. Second, the RFR model was used to predict the taxi time of...
Under the vehicle-to-vehicle (V2V) environment, the steady-state performance and the dynamic performance are both crucial for the traffic system. This paper proposes an in-depth methodology to provide some insights into the comprehensive changes of steady-state performance and dynamic performance of a heterogeneous platoon, which contains human-dri...
A speed perturbation model is proposed in this paper for the heterogeneous platoon to measure the interaction between vehicles and investigate the propagation laws of perturbations. Then, a ratio is defined to quantify the relationship between the communicating information impact (CII) and the car-following behaviour impact (CFI). A modified IDM is...
The accurate prediction of flight delays is of great significance to airports, airlines and passengers. This paper presents a causal flight delay prediction model developed for a single airport. A long short‐term memory network of delay prediction with an attention mechanism (LSTM‐AM) is established to predict flight delays and analyse their primar...
With the development of the civil aviation industry, airports' parking space resources, especially those with jetways, become increasingly scarce. The airport gate assignment problem (AGAP) is a critical issue in airport operation management. When the number of flights is large, solving this situation is challenging. Therefore, designing an efficie...
Cong Ding Jun Bi Dongfan Xie- [...]
Yi Liu
An airport ferry vehicle is a ground service vehicle used to transfer passengers between the far apron and the terminal. The travel time of ferry tasks in the airport ferry network is an important decision-making basis for ferry vehicle scheduling. This paper presents a graph-based method to mine the travel time between nodes in the airport ferry n...
Qiuyue Sai Jun Bi Guan Wei- [...]
Ru Zhi
Sustainable development of carsharing plays an important role in reducing the number of private cars and relieving urban parking pressure. Understanding the behavior of users, such as spatiotemporal characteristics of carsharing users, can help operators find high-quality users and provide strong decision support for their service management. To th...
In this paper, a data-driven two-lane traffic flow model based on cellular automata is proposed. Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) are used to learn the characteristics of car following behavior and lane changing behavior, respectively, from real operation data of vehicles. Under optimal network parameters, the mean abs...
Limited driving range, long charging time and high charging costs affect the use of battery electric vehicles (BEVs) for intercity travels and often compel drivers to charge their vehicles more than once. This study proposes a multistage optimisation model to provide BEV drivers with a charging strategy for intercity travel. This model aims to join...
In this paper, a two-lane cellular automata traffic flow model based on regular hexagonal cells is proposed. The realistic lane changing maneuvers with the lateral movement process, the lane changing duration, and the unsuccessful lane changing are considered by the new model. The vehicle trajectories from NGSIM dataset are used to extract the real...
An airport gate is the core resource of an airport operation, which is an important place for passengers to get on and off the aircraft and for maintaining aircraft. It is the prerequisite for other related dispatch. Effective and reasonable allocation of gates can reduce airport operating costs and increase passenger satisfaction. Therefore, an ai...
Electric carsharing is considered as one of the leading solutions to alleviate traffic problems and promote the sustainable development of cities. However, extensive planning method is used to determine the carsharing station and capacity in the case of mismatch between supply and demand, which is not conducive to bring social benefits into play an...
Day-to-day traffic assignment models provide a powerful tool to analyze the time evolution of traffic flow within transport networks. In day-to-day dynamics, most models assume that there are only private cars on traffic networks and travelers update their choices each day. However, there are mainly two traffic modes, i.e. cars and buses, and trave...
To better understand the mechanism of air traffic delay propagation at the system level, an efficient modeling approach based on the epidemic model for delay propagation in airport networks is developed. The normal release rate (NRR) and average flight delay (AFD) are considered to measure airport delay. Through fluctuation analysis of the average...
Driving behavior is heterogeneous for various drivers due to the different influencing factors as reaction time, gender, driving years and so on. Some existing works tried to reproduce some of the complex characteristics of real traffic flow by taking into account the heterogeneous driving behavior, and the drivers are generally divided into two cl...
Jun Bi Ru Zhi Dongfan Xie- [...]
Jun Zhang
This work explores the characteristics of the usage behaviour of station-based car-sharing users based on the actual operation data from a car-sharing company in Gansu, China. We analyse the characteristics of the users’ demands, such as usage frequency and order quantity, for a day with 24 1 h time intervals. Results show that most car-sharing use...
It is foreseeable that connected vehicles (CVs) and regular vehicles (RVs) will be operated together on roads in the upcoming decades. The appearance of CVs provides us an opportunity to improve traffic efficiency by guiding drivers to properly steer their CVs. To take advantage of this opportunity, this paper proposes two cooperative driving strat...
To address sustainable development issues of urban traffic, electric buses will join traditional bus system, and the scheduling of bus fleet should be adjusted due to the distinct features of electric buses. To this end, this paper develops a Multi-objective Bi-level programming model to collaboratively optimize the vehicle scheduling and charging...
Lane changing is one of the basic driving behaviours, which may induce traffic oscillations and incidents. However, it is difficult to well model the lane-changing decision process due to the complex traffic status. To promote the prediction accuracy of lane-changing decisions, this paper presents a probability lane-changing model by taking into ac...
Due to the interactions among adjacent roads in urban road networks, traffic congestion gradually propagates to neigboring roads, resulting in regional congestion. To develop advanced regional traffic control strategies, it is necessary to clearly understand the characteristics of regional congestion evolution. To this end, this paper proposes a da...
Car-sharing is a new transportation mode with the rapid development of mobile Internet. It is necessary for the operation companies to keep the number of carsharing users and intelligent transportation can be realized by discovering the users before they loss and preventing the loss. In this paper, based on the massive order data of a car-sharing c...
Lane-changing (LC), which is one of the basic driving behavior, largely impacts on traffic efficiency and safety. Modeling an LC process is challenging due to the complexity and uncertainty of driving behavior. To address this issue, this paper proposes a data-driven LC model based on deep learning models. Deep belief network (DBN) and long short-t...
In the upcoming decades, connected vehicles will join regular vehicles to appear on roads, and the characteristics of traffic flow will be changed accordingly. To model the heterogeneous traffic mixing regular and connected vehicles, a generic car-following framework is first proposed in this paper. A linear stability condition is theoretically der...
In order to capture the characteristics of carsharing users, we applied a data-driven method to classify the users into typical clusters according to the contributions to the carsharing companies. The data used in this study are collected in the order information from the carsharing company in Beijing, China. The RFM model is employed to determine...
The paper aimed to explore the relationship between risks and individuals' driving states and then design an efficient method to help drivers avoid high risks. The relationship between risks and individuals' driving states was deeply studied first. Microscopic driving states were categorized into different clusters, and it was found that the risks...
Advanced information is increasingly being used as an external intervention tool to positively influence system performance. In many traffic assignment problems, the proportion of travellers that reroute is assumed to be constant (static rerouting behavior), whereas the number of travellers that modify their routes will change dynamically with the...
Travel demand is indeed stochastic with day-to-day travel demand variability, due to the underlying characteristic of variability of travel activities. The stochastic travel demand can be described by different probability distribution patterns and has to be considered in transport network design, as it affects travelers' routing choice behavior ag...
Bicycle movements are always associated with lateral drifts. However, the impacts of lateral drift behavior, as well as variable lateral clearance maintaining behavior due to the variation of drift intensity, on mixed bicycle flow are not clear. This paper establishes a new cellular automata model to study typical characteristics of mixed bicycle t...
Crosswalk with push button is prevalent in lots of cities for the purpose of promoting the efficiency of the crosswalk, and thus the delays of both vehicles and pedestrians can be reduced. This strategy has been confirmed to be effective in several developed countries. However, it is a pity that application of push button is aborted in some cities...
In this study, a region-based dynamic model is proposed to depict the traffic dynamics of an idealised grid-like unidirectional road network, and the impact of heterogeneity of the network on macroscopic traffic flow is investigated. The equilibrium solutions are obtained by solving the dynamic model, and the method of linear stability analysis is...
In this paper, ramp systems on the Beijing 3rd ring road are described as double-cell ramp systems with a bottleneck. By analyzing empirical data for the Beijing 3rd ring road, we found that the initial states have an important impact on the final convergence states of the ramp systems. Then, we studied the dynamic process of the ramp systems, dete...
With the development of intelligent transport system, advanced information feedback strategies have been developed to reduce traffic congestion and enhance the capacity. However, previous strategies provide accurate information to travelers and our simulation results show that accurate information brings negative effects, especially in delay case....
With increasingly fierce competition making price becomes important question relating to the cruise industry. Focusing primarily on three factors, customer arrival rate, ticketing remaining cycles and the remaining tickets, we further improve dynamic pricing method to the market in which we consider random factors and calculate by MATLAB to reflect...
The increase of air travel puts tremendous burden on airline companies. A time saving boarding strategy is required to improve the utilization of airplane boarding time and explore flexible time management strategies. Firstly, an improved boarding strategy is introduced by assigning individual passengers to seats based on the number of luggage they...
With the rapid increase of the private cars, urban road congestion is getting worse. As known, when the downstream section is free flow, the congestion for every bottleneck section starts from the bottleneck cell, and then gradually propagates towards its upstream. Many studies about bottlenecks are based on the assumption that the downstream of ea...
As a typical bottleneck connecting freeway and common road, ramp is an important traffic congestion area. Various traffic phenomena near ramps can be described by the Cell Transmission Model (CTM). However, real traffic data shows that traffic flow characteristics are far different for the ramp system with different ramp distances. We analyze traff...
Both on-ramps and off-ramps are typical bottlenecks in urban traffic system, where traffic congestions often appear. The system with an on-ramp and an off-ramp is regarded as the typical scenario to study the effect of the relative location of on-ramp and off- ramp. The system can be classified into two types, the case with an upstream on-ramp and...
In this work, a cellular automaton model is presented to depict the traffic flow at such a crosswalk with push button. The characteristics of vehicle flow with various arriving rate of pedestrians are investigated. Flux curves and spatiotemporal diagrams are plotted to show different traffic states and the phase transition features. A parameter, na...
This paper presents a new lattice model by considering the multiple density difference effect in the two-lane traffic systems. We derive the stability condition and the mKdV equation near the critical point by the linear and nonlinear analysis, respectively. The results of the theoretical analysis manifest that the stable region is enlarged and tra...
In intelligent transport system, some advanced information feedback
strategies have been developed to reduce the oscillations and enhance
the capacity on the road level. However, seldom strategies have
considered the information delay and user equilibrium (UE) objective.
Here, a derivative cost feedback strategy (DCFS) is proposed to reduce
the inf...
Based on the velocity effect (VE) model, a cellular automaton (CA) model is proposed with the consideration of timid and aggressive driving behaviors. Numerical simulations are performed to investigate the characteristics of traffic flow. The flux-density curves are plotted. The results show that the maximum flux and the corresponding density decre...
Based on traffic information, an extended two-dimensional optimal velocity model is presented by incorporating velocity difference between two neighboring pedestrians. Linear stability conditions are obtained by theoretical analysis, and the results show that the traffic information can promote the stability of pedestrian flow. Furthermore, the mod...
Characteristics of mixed traffic on a road with a signalized crosswalk are investigated by cellular automaton modeling. The interaction mechanism between vehicles and pedestrians is taken into account. Also, the inordinate behavior of vehicles near the crosswalk, and various behaviors of three types of pedestrians (i.e., careful pedestrians, normal...
An alternative floor field (FF) model is proposed by incorporating the
agitated behavior and elastic characteristics of pedestrians. The
agitated behavior which is regarded as an important factor to pedestrian
dynamics is depicted by introducing a parameter to revise the transition
probability of pedestrians to move to the neighboring cells. To
cha...
U-turn movement is a common form of traffic organization in urban streets. A traffic flow model for U-turn movement based on the NaSch cellular automaton model is proposed to simulate and analyze the dynamics of U-turn movement. The results indicated that the U-turn movement has significant effect on the traffic flow, and it is a typical bottleneck...
The original BML model is extended by introducing extended sites, which can hold several vehicles at each time-step. Unexpectedly, the flow in the extended model sharply transits from free-flow to global jams, but the transition is not one-order in original BML model. And congestion in the extended model appears more easily. This can ascribe to the...
To depict the mixed traffic flow consisting of motorized (m-) and non-motorized (nm-) vehicles, a new cellular automaton model is proposed by combining the NaSch model and the BCA model, and some rules are also introduced to depict the interaction between m-vehicles and nm-vehicles. By numerical simulations, the flux-density relations are investiga...
The effect of cars with intelligent transportation systems (ITSs) on traffic flow near an on-ramp is investigated by car-following simulations. By numerical simulations, the dependences of flux on the inflow rate are investigated for various proportions of cars with ITSs. The phase diagrams as well as the spatiotemporal diagrams are presented to sh...
Based on the two-dimensional optimal velocity model, a new model is proposed by considering the occupying space of pedestrian. The stability of homogenous flow in the model is investigated with both linear stability analysis and numerical simulations. And a noncollision rule is tested in the counter flow. From the results, considering the occupying...
In this paper, a new two-dimensional car-following model is proposed to depict the features of mixed traffic flow consisting of motorized vehicles (m-vehicle) and non-motorized vehicles (nm-vehicle), based on the two-dimensional optimal velocity (OV) model by Nakayama et al. [A. Nakayama, K. Hasebe, Y. Sugiyama, Phys. Rev. E 71 (2005) 036121]. In t...
This paper studies the effect of adaptive cruise control (ACC) system on traffic flow by using simulations. The multiple headway and velocity direrence (MHVD) model is used to depict the motion of ACC vehicles, and the simulation results are compared with the optimal velocity (OV) model which is used to depict the motion of manual vehicles. Compare...
To enhance the stability of traffic flow, a new car-following model is proposed by taking into account the support of intelligent transportation system (ITS) information, which includes both the headway and the velocity difference of multiple preceding cars. The new model is based on the Optimal Velocity (OV) model and its extended models. The stab...