- Dataset 1
- Tech Report 6
- Citadel, the Military College of South Carolina 2
- Florida Atlantic University. Freight Mobility Research Institute 2
- Florida International University. Department of Civil and Environmental Engineering 2
- Georgia Institute of Technology. School of Civil and Environmental Engineering 1
- Illinois Institute of Technology 1
- Purdue University. 1
- University of Florida 2
- University of Florida. Dept. of Civil and Coastal Engineering 2
- Access 2
- Access/egress mode 2
- allocation 1
- Analysis 1
- Bilevel optimization 1
- Congestion management systems 1
- Data analysis 2
- Delivery service 1
- Digital twin 1
- Door to door service 1
- Driving simulators 1
- First/last mile 2
- Freeway operations 1
- Heuristic methods 1
- hub location 1
- Hubs 1
- Incentives 1
- last mile delivery 1
- Literature reviews 2
- Logistics 1
- Machine learning 2
- Mathematical models 2
- MATSim Simulation Modeling 1
- Mobile applications 1
- Mode integration 1
- Model calibration 1
- Optimization 1
- Probe vehicles 1
- Public transit 2
- Ridesharing 2
- Ridesharing-transit hybrid urban public mobility 2
- Ridesourcing 3
- Route choice 1
- Scheduling 1
- Sequential analysis 1
- Shared mobility 2
- Signalization 1
- Supply-demand market 2
- Surveys 2
- Traffic assignment 1
- Traffic congestion 1
- Traffic delays 1
- Traffic flow 1
- Traffic monitoring--Mathematical models 1
- Traffic platooning 1
- Traffic signal timing 1
- Transportation Network Companies (TNCs) 1
- Travel behavior 1
- Travel time 1
- Travel time (Traffic engineering)--Mathematical models 1
- Trip data 2
- Truck drivers 1
- Trucks 1
- Urban areas 2
- user equilibrium 1
- Vehicle-infrastructure integration 1
- Vehicle miles of travel 1
(Max 200)
- Citadel, the Military College of South Carolina (2)
- Florida Atlantic University. Freight Mobility Research Institute (2)
- Florida International University. Department of Civil and Environmental Engineering (2)
- Georgia Institute of Technology. School of Civil and Environmental Engineering (1)
- Illinois Institute of Technology (1)
- Purdue University. (1)
- University of Florida (2)
- University of Florida. Dept. of Civil and Coastal Engineering (2)
- Access (2)
- Access/egress mode (2)
- allocation (1)
- Analysis (1)
- Bilevel optimization (1)
- Congestion management systems (1)
- Data analysis (2)
- Delivery service (1)
- Digital twin (1)
- Door to door service (1)
- Driving simulators (1)
- First/last mile (2)
- Freeway operations (1)
- Heuristic methods (1)
- hub location (1)
- Hubs (1)
- Incentives (1)
- last mile delivery (1)
- Literature reviews (2)
- Logistics (1)
- Machine learning (2)
- Mathematical models (2)
- MATSim Simulation Modeling (1)
- Mobile applications (1)
- Mode integration (1)
- Model calibration (1)
- Optimization (1)
- Probe vehicles (1)
- Public transit (2)
- Ridesharing (2)
- Ridesharing-transit hybrid urban public mobility (2)
- Ridesourcing (3)
- Route choice (1)
- Scheduling (1)
- Sequential analysis (1)
- Shared mobility (2)
- Signalization (1)
- Supply-demand market (2)
- Surveys (2)
- Traffic assignment (1)
- Traffic congestion (1)
- Traffic delays (1)
- Traffic flow (1)
- Traffic monitoring--Mathematical models (1)
- Traffic platooning (1)
- Traffic signal timing (1)
- Transportation Network Companies (TNCs) (1)
- Travel behavior (1)
- Travel time (1)
- Travel time (Traffic engineering)--Mathematical models (1)
- Trip data (2)
- Truck drivers (1)
- Trucks (1)
- Urban areas (2)
- user equilibrium (1)
- Vehicle-infrastructure integration (1)
- Vehicle miles of travel (1)
- :Peeta, Srinivas ;Du, Lili2009-10-15:This research seeks to explore vehicle-to-vehicle information networks to understand the interplaybetween the information communicated and traffic con...
- :Li, Zongzhi ;Du, Lili2016-09-20:In the ever-growing travel demand, traffic congestion on freeways and expresswaysrecurs more frequently at a higher number of locations and for longer...
- :Kaisar, Evangelos I. ;Charisis, Anastasios2020-10-01:Logistics play a vital role in the prosperity of today’s cities, but current urban logistics practices are proving problematic, causing negative eff...
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- :Du, Lili ;Jin, Xia2021-05-07:This project conducted a comprehensive data analysis to answer two questions: 1) Who are the potential demands with high probability to use intermodal...
- :Du, Lili ;Qiu, Jiahua2020-09-17:This project conducted a comprehensive data analysis to answer two questions: 1) Who are the potential demands with high probability to use intermodal...
- :Du, Lili ;Peeta, Srinivas2022-08-24:This study proposes to develop smartphone-based frameworks to develop/utilize real-time incentives (monetary, value-based, travel-related credits, inf...
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