Public transport for smart cities: Recent innovations and future challenges
The idea of a smart city is one that utilises Internet-of-Things (IoT) technologies and data
analytics to optimise the efficiency of city operations and services, so as to provide a high …
analytics to optimise the efficiency of city operations and services, so as to provide a high …
Train rescheduling for large-scale disruptions in a large-scale railway network
C Zhang, Y Gao, V Cacchiani, L Yang, Z Gao - … Research Part B …, 2023 - Elsevier
This paper studies the problem of rescheduling trains in a large-scale railway network with
the characteristics of long distance, long time horizon and a large number of trains, where a …
the characteristics of long distance, long time horizon and a large number of trains, where a …
Integrated railway timetable rescheduling and dynamic passenger routing during a complete blockage
Trains normally run as scheduled in a non-disrupted situation. However, due to external
and/or internal factors, trains may deviate from their original timetable during daily …
and/or internal factors, trains may deviate from their original timetable during daily …
Integrated optimization of rolling stock allocation and train timetables for urban rail transit networks: A benders decomposition approach
We investigate the integrated optimization of rolling stock allocation and train timetables
(RATT) in an urban rail transit network with multiple connected lines and rolling stock …
(RATT) in an urban rail transit network with multiple connected lines and rolling stock …
Train schedule optimization based on schedule-based stochastic passenger assignment
In this study, we propose a new schedule-based itinerary-choice model, the mixed itinerary-
size weibit model, to address the independently and identically distributed assumptions that …
size weibit model, to address the independently and identically distributed assumptions that …
Real-time optimization of train regulation and passenger flow control for urban rail transit network under frequent disturbances
Urban rail transit networks face frequent delays and oversaturation resulting from
unexpected disturbances and high demands during rush hours, which inevitably leads to …
unexpected disturbances and high demands during rush hours, which inevitably leads to …
[HTML][HTML] Partial and complete replanning of an intermodal logistic system under disruptions
The exclusive and excessive use of long-distance road transportation is not suitable way to
reduce the negative environmental impacts of logistics systems. Intermodal transport …
reduce the negative environmental impacts of logistics systems. Intermodal transport …
A multi-objective optimization-simulation approach for real time rescheduling in dense railway systems
Rescheduling trains in dense railway systems to cope in real time with limited disturbances
is a challenging problem with multiple conflicting objectives and various types of decisions …
is a challenging problem with multiple conflicting objectives and various types of decisions …
Passenger service-oriented timetable rescheduling for large-scale disruptions in a railway network: A heuristic-based alternating direction method of multipliers
Unpredictable disruptions arising in railway operations can cause significant inconvenience
for passengers, including missed connections or deviations from their travel plans. To …
for passengers, including missed connections or deviations from their travel plans. To …
Railway capacity estimation considering vehicle circulation: Integrated timetable and vehicles scheduling on hybrid time-space networks
Railway capacity is a vague concept, related to the possibility to run a maximal transport
performance given a set of available resources. While most approaches focus only on …
performance given a set of available resources. While most approaches focus only on …