392 citations · 532 across the 26 of their papers we have counts for
26 papers
ST-former for short-term passenger flow prediction during COVID-19 in urban rail transit system
Shuxin Zhang, Jinlei Zhang, Lixing Yang +2
Accurate passenger flow prediction of urban rail transit is essential for improving the performance of intelligent transportation systems, especially during the epidemic. How to dy…
Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning method
Yongjie Yang, Jinlei Zhang, Lixing Yang +2
With the prevailing of mobility as a service (MaaS), it becomes increasingly important to manage multi-traffic modes simultaneously and cooperatively. As an important component of…
Spatial-Temporal Attention Fusion Network for short-term passenger flow prediction on holidays in urban rail transit systems
Shuxin Zhang, Jinlei Zhang, Lixing Yang +2
The short term passenger flow prediction of the urban rail transit system is of great significance for traffic operation and management. The emerging deep learning-based models pro…
An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems
Jinlei Zhang, Ergang Shan, Lixia Wu +3
Express systems play important roles in modern major cities. Couriers serving for the express system pick up packages in certain areas of interest (AOI) during a specific time. How…
Scaling of variations in traveling distances and times of taxi routes
Xiaoyan Feng, Huijun Sun, Bnaya Gross +6
The importance of understanding human mobility patterns has led many studies to examine their spatial-temporal scaling laws. These studies mainly reveal that human travel can be hi…
Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach
Jinlei Zhang, Feng Chen, Lixing Yang +3
Urban rail transit (URT) system plays a dominating role in many megacities like Beijing and Hong Kong. Due to its important role and complex nature, it is always in great need for…
Identifying intercity freight trip ends of heavy trucks from GPS data
Yitao Yang, Bin Jia, Xiao-Yong Yan +3
The intercity freight trips of heavy trucks are important data for transportation system planning and urban agglomeration management. In recent decades, the extraction of freight t…
Identifying intracity freight trip ends from heavy truck GPS trajectories
Yitao Yang, Bin Jia, Xiao-Yong Yan +3
Intracity heavy truck freight trips are basic data in city freight system planning and management. In the big data era, massive heavy truck GPS trajectories can be acquired cost ef…
Study on departure time choice behavior in commute problem with stochastic bottleneck capacity: Experiments and modeling
Dongxu Lu, Rui Jiang, Ronghui Liu +2
Uncertainty is inevitable in transportation system due to the stochastic change of demand and supply. It is one of the most important factors affecting travelers' choice behavior.…
Go left or right? Explore the side preference behavior with circle antipode experiments
Yao Xiao, Ziyou Gao, Rui Jiang +2
Side preference is a critical behavior in conflict handling, and here the behavior is investigated with pedestrian trajectories in circle antipode experiments that own both conflic…
Car following behavioral stochasticity analysis and modelling: Perspective from wave travel time
Junfang Tian, Chenqiang Zhu, Danjue Chen +3
This paper analyzes the car following behavioral stochasticity based on two sets of field experimental trajectory data by measuring the wave travel time series of vehicle n. The an…
A comparison study on the growth pattern of traffic oscillations in car-following experiments
Shi-Teng Zheng, Rui Jiang, Junfang Tian +4
The evolution of oscillations is a very important issue in traffic flow studies. A recent car-following experiment (Experiment-I) showed that the speed standard deviation grows in…
Investigation of Pedestrian Dynamics in Circle Antipode Experiments
Yao Xiao, Ziyou Gao, Rui Jiang +2
To explore the pedestrian motion navigation and conflict reaction mechanisms in practice, we organized a series of circle antipode experiments. In the experiments, pedestrians are…
Spatial social networks identified from urban group travel
Huijun Sun, Kangli Zhu, Jianjun Wu +6
While the individual travel implicates the trace of individual mobility decision, group travels signify the possible social relationship behind these traces. Different from online…
Theoretical investigation, simulation and empirical analysis of the growth pattern of traffic oscillations in the Euler coordinates
Junfang Tian, Martin Treiber, Rui Jiang +3
The formation and development of oscillations is an important traffic flow phenomenon. Recent studies found that along a vehicle platoon described in the Lagrangian specification,…
Investigation of Voronoi diagram based Direction Choices Using Uni- and Bi-directional Trajectory Data
Yao Xiao, Mohcine Chraibi, Yunchao Qu +2
In a crowd, individuals make different motion choices such as "moving to destination", "following another pedestrian", and "making a detour". For the sake of convenience, the three…
Switch between critical percolation modes in city traffic dynamics
Guanwen Zeng, Daqing Li, Shengmin Guo +4
Percolation transition is widely observed in networks ranging from biology to engineering. While much attention has been paid to network topologies, studies rarely focus on critica…
On the role of speed adaptation and spacing indifference in traffic instability: evidence from car-following experiments and its stochastic modeling
Junfang Tian, H. M. Zhang, Martin Treiber +3
Understanding the mechanisms responsible for the emergence and evolution of oscillations in traffic flow has been subject to intensive research by the traffic flow theory community…
Speed dependent stochasticity capacitates Newell model for synchronized flow and oscillation growth pattern
Junfang Tian, Rui Jiang, Bin Jia +2
This paper has incorporated the stochasticity into the Newell car following model. Three stochastic driving factors have been considered: (i) Driver's acceleration is bounded. (ii)…
Traffic incident analysis on urban arterials using ESE: A method for moderate length of time window
Zhen-zhen Yang, Liang Gao, Zi-you Gao +2
Moderate length of time window can get the best accurate result in detecting the key incident time using extended spectral envelope. This paper presents a method to calculate the m…
Traffic Incident Analysis on Urban Arterials Using Extended Spectral Envelope Method
Zhen-zhen Yang, Liang Gao, Zi-you Gao +2
A traffic incident analysis method based on extended spectral envelope (ESE) method is presented to detect the key incident time. Sensitivity analysis of parameters (the length of…
On some experimental features of car-following behavior and how to model them
Rui Jiang, Mao-Bin Hu, H. M. Zhang +3
We have carried out car-following experiments with a 25-car-platoon on an open road section to study the relation between a car's speed and its spacing under various traffic condit…
Empirical analysis and simulation of the evolution concavity of traffic oscillations
Junfang Tian, Rui Jiang, Bin Jia +2
This paper has investigated the growth pattern of traffic oscillations in the NGSIM vehicle trajectories data, via measuring the standard deviation of vehicle velocity involved in…
An exponent tunable network model for reproducing density driven superlinear relation
Yuhao Qin, Liang Gao, Lida Xu +1
Previous works have shown the universality of allometric scalings under density and total value at city level, but our understanding about the size effects of regions on them is st…