- Transportation Planning and Optimization
- Traffic control and management
- Traffic Prediction and Management Techniques
- Transportation and Mobility Innovations
- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- Vehicle Routing Optimization Methods
- Electric Vehicles and Infrastructure
- Chinese history and philosophy
- EEG and Brain-Computer Interfaces
- Urban and Freight Transport Logistics
- Advanced Decision-Making Techniques
- Smart Parking Systems Research
- Simulation and Modeling Applications
- Advanced Battery Technologies Research
- Asphalt Pavement Performance Evaluation
- Evacuation and Crowd Dynamics
- Coastal wetland ecosystem dynamics
- Water Quality Monitoring and Analysis
- Advanced Computational Techniques and Applications
- Asian Culture and Media Studies
- Autonomous Vehicle Technology and Safety
- Infrastructure Maintenance and Monitoring
- Sleep and Work-Related Fatigue
- Industrial Technology and Control Systems
Beijing Jiaotong University
2015-2024
Ministry of Transport
2019-2024
Shaanxi University of Chinese Medicine
2024
Dalian University of Technology
2012-2024
Dalian Neusoft University of Information
2018-2023
Shanghai Jiao Tong University
2023
Research Institute of Highway
2020-2023
Chongqing University of Arts and Sciences
2015-2023
Wuhan Technology and Business University
2022
National Institute for Parasitic Diseases
2016-2022
Short-term load forecasting at the distribution level predicts of substations, feeders, transformers, and possibly customers from half an hour to one week ahead. Effective is important for planning operation systems. The problem, however, difficult in view complicated features, large number distribution-level nodes, possible switching operations. In this paper, a new approach within hierarchical structure presented solve these difficulties. Load root node any user-defined subtree first...
An electric vehicle‐routing problem (EVRP) is developed to settle some operation distribution troubles such as battery energy limitations and difficulties in finding charging stations for vehicles (EVs). Meanwhile, view of realistic traffic conditions features EVs, consumption with travel speed cargo load considered the EVRP model. Moreover, avoid depletion all power ensure safe operation, EVs insufficient can be recharged at many times transit. In conclusion, a large, case study road...
Abstract In the era of big data, mining data instead collecting are a new challenge for researchers and engineers. field transportation, extracting traffic dynamics from widely existing probe vehicle is meaningful both in theory practice. Therefore, this article proposes simple mapping‐to‐cells method to construct spatiotemporal diagram freeway network. The partitions network region into small square cells represents real inside by using cells. After determining flow direction pertaining...
In a battery electric bus (BEB) network, buses are scheduled to perform timetabled trips while satisfying time, energy consumption, charging, and operational constraints. Increasing research efforts have been dedicated the integrated optimization of multiple planning tasks reduce system costs. At high integration level, this study determines BEB scheduling charging with flexible timetable shifting strategies. We first formulate an arc-based model minimize total costs considering power grid...
The impacts of failed first-time home deliveries on additional carrier journeys (repeat deliveries) and customer trips (to retrieve goods from depots) are increasing concern to e-retailers assessed in this paper. attended collection delivery point (CDP) concept is one solution failures, using a variety outlets (e.g., convenience stores, petrol stations, post offices) as alternative addresses receive deliveries. By database households across West Sussex the United Kingdom, paper confirms that...
Imagine in the future that autonomous vehicles coordinated and guided by signal-free intersections are able to pass through immediately after conflicting direction leave. Meanwhile, with coordination of intersections, on any approaching lane turn onto downstream lane, expecting driving such a road system, can reach their destinations without on-road changes, high traffic efficiency will be achieved as well great safety. To draw picture detail, this paper designs intersection all-direction...
In recent years, an innovative public transportation (PT) mode known as the customized bus (CB) has been proposed and implemented in many cities China to efficiently effectively shift private car users PT alleviate traffic congestion traffic-related environmental pollution. The route network design activity plays important role CB operation planning process because it serves basis for other activities, example, timetable development, vehicle scheduling, crew scheduling. this paper, according...
An electric vehicle routing problem with charging time and variable travel is developed to address some operational issues such as range limitation demand. The model solved by using genetic algorithm obtain the routes, departure at depot, plan. Meanwhile, a dynamic Dijkstra applied find shortest path between any two adjacent nodes along routes. To prevent depletion of all battery power ensure safe operation in transit, vehicles insufficient can be repeatedly recharged stations. fluctuations...
Considering that, in reality, passengers usually hold preferred time windows when waiting for a bus at station, this study develops mixed integer programming model the customized routing problem (CBRP) with full spatial–temporal constraints based on one of our previous studies. Specifically, and passenger assignment are simultaneously optimized better vehicle capacity utilization more realistic considerations partial service, characteristics range operational constraints. To solve formulated...
Mobility patterns at region level can provide more macroscopic and intuitive knowledge on how people gather in or depart from the region. However, analysis prediction of regional mobility have yet to be effectively addressed. In light this, using smart card data (SCD) points interest (POI) data, a multi-step methodology which integrates inner-restricted fuzzy C-means clustering, nonnegative tensor factorization artificial neural network are proposed implemented this paper. It overcomes...
This work studies perishable products' distribution using electric commercial vehicles (ECVs). Extra energy is consumed for refrigeration to keep such products from deteriorating, which shortens the limited driving range of ECVs. Besides charging at public recharging stations, their travel speed can be adjusted improve and decrease cost. We propose an Electric Vehicle Routing problem with variable vehicle soft time windows (EVRP-VS). An consumption rate function refrigerated ECVs during...
The emerging customized bus system based on modular autonomous electric vehicles (MAEVs) shows tremendous potential to improve the mobility, accessibility and environmental friendliness of a public transport system. However, existing studies in this area almost focus human-driven which face some striking limitations (e.g., restricted crew scheduling fixed vehicle capacity) can weaken overall benefits. This paper proposes two-phase optimization procedure fully unleash MAEVs by leveraging...
In recent years, the customized bus (CB) has been introduced and popularized in China to improve attraction service level of public transportation. A key point CB system, route design problem, is always formulated as a vehicle routing problem with pickup delivery (VRPPD). However, VRPPD cannot sufficiently describe in-vehicle passengers multiple vehicles involved. this paper, mixed integer programming model developed formulate multivehicle suggestions for stop locations routes. Meanwhile,...
Urban customized bus companies are increasingly motivated by design efforts that entail more efficient route scenarios to incorporate adaptation temporal and spatial heterogeneity in travel demand. However, such motivations usually hindered ubiquitous arrival unpunctuality resulting from traffic congestion. To resolve this problem, we suggest a time-dependent planning methodology explicitly considers path flexibility between nodes be visited. First, establish mixed-integer programming model...
Rutting is one of the most common distresses in early damage to asphalt pavements. It can raise risk ride safety issues, accelerate pavement deterioration, and increase maintenance costs. To investigate factors that affect rutting resistance mixtures, internal (such as aggregate gradation, content, layer thickness), external (including temperature traffic loading), human compaction degree) were tested using wheel tracking tests. The test results showed mixtures be improved by designing a...
Concerns about the impacts of failed first-time home deliveries on road transport and environment are growing because potential for additional vehicle trips carriers consumers. Local collection-and-delivery points (CDPs), at which consumers can collect their deliveries, have emerged as a viable solution. On basis two databases households from across Winchester West Sussex in United Kingdom responses nine major carriers, this paper quantifies greenhouse gas (GHG) emissions carrier consumer...