Mathematical Optimization in Transportation Engineering: 2nd Edition
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 165
Special Issue Editors
Interests: transportation system optimization; transport planning; traffic management and transport policy
Interests: modelling and assessment of the disruption of emergency evacuation and network resilience; evaluation of transport policy interventions and system dynamics; city mobility and ICT solutions
Special Issues, Collections and Topics in MDPI journals
Interests: high-speed railway transportation organization and optimization theory and method; urban rail transit operation management theory and application; public transportation organization and optimization theory; transportation operation management and information system
Special Issue Information
Dear Colleagues,
Transportation engineering typically involves the planning, design, operation, and management of transportation facilities, seeking to maximize efficiency, minimize costs, maximize reliability, or minimize environmental pollution. The most effective way to address these issues is to establish mathematical optimization models and obtain the best solution by solving the model. This involves the analysis of the problem, variables, objectives, and constraints, and requires the development of appropriate solution algorithms to solve the corresponding optimization problems. Therefore, this involves not only transportation engineering problems but also the development of optimization theory.
Mathematical optimization in transportation engineering typically involves the design optimization of various transportation facilities, such as roads, railways, and other networks; bus routes, intersections, and signal control; transportation stations; and parking facilities. It also involves residents’ travel behavior modeling, traffic demand analysis, passenger flow organization, etc., as well as traffic flow patterns under intelligent transportation, autonomous driving, and vehicle networking environments. New modes of transportation, such as shared transportation, mobility as a service, multimodal transport, etc., are also application fields of mathematical optimization in transportation engineering. In addition, it also involves the logistics field, such as the planning and scheduling of vehicle or drone transportation routes, drone monitoring path planning and scheduling, transportation route and facility allocation, operation management optimization in navigation, aviation, and other related fields.
The aim of this SI is to collect some new theoretical contributions and real-world applications with regard to the optimization problems in transportation engineering mentioned above.
Prof. Dr. Qun Chen
Prof. Dr. Haibo Chen
Prof. Dr. Lianbo Deng
Guest Editors
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Keywords
- transportation
- planning
- design
- operation
- transportation facilities
- optimization
- roads
- railway
- network
- bus
- intersection
- signal control
- station
- parking facilities
- travel behavior modeling
- traffic demand analysis
- passenger flow organization
- traffic flow
- intelligent transportation
- autonomous driving
- vehicle networking
- shared transportation
- mobility as a service
- multimodal transport
- logistics
- planning
- scheduling
- path planning
- facility allocation
- navigation
- aviation
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Related Special Issue
- Mathematical Optimization in Transportation Engineering in Mathematics (12 articles)
