Abstract
References
- Jeongwook S., Shin-Hyung Ch., Dong-Kyu K., & Peter P. (June 2020). Analysis of overlapping origin-destination pairs between bus stations to enhance the efficiency of bus operations. Wiley. IET Intelligent Transport Systems 14(6):545–553. https://doi.org/10.1049/iet-its.2019.0158-
- Kevin B. Modi, L. B. Zala, F. S. Umrigar, T. A. Desai, (2011),“Transportation planning models: A review“, National Conference on Recent Trends in Engineering & Technology, B.V.M. Engineering College, V.V.Nagar, Gujarat, India, 13-14 May 2011
- Mohammed M., & Jimi O. (March 2023). Origin-destination inference in public transportation systems: A comprehensive review. International Journal of Transportation Science and Technology Volume 12, Issue 1, Pages 315-328. https://www.sciencedirect.com/science/article/pii/S2046043022000223
- Novačko, L., Šimunović, Lj., & Krasić, D., (2014). Estimation of origin-destination trip matrices for small cities. Traffic &Transportation, Vol. 26, No. 5, 419-428
Abstract
In order to achieve competitive advantages of public transport over private vehicles, it is necessary to improve the quality of passenger service. This can be achieved by improving the regularity of the transportation, and reducing the waiting time at public transport stops. Each trip can be made with one or more vehicles, as well as with one or more modes of transport. A trip covers the time from departure from its starting point to arrival at the destination and a major element of the total travel time is waiting for a vehicle at the stop and namely it is the minimization of this time that is considered in the article/paper.A model has been developed for synchronizing timetables on different partially overlapping in a given section route lines, so as to reduce the interval between the arriving vehicles at the stop. The model includes passenger flow forecasting, by compiling an OD matrix for the considered route lines based on the partial use of the traditional four step demand modelling for travel planning. After determining the passenger flows, moving in the considered section of the route network, the existing timetables on route lines are synchronized under the criterion of a minimum of the total stay/waiting time of the passengers. The validation of the model is carried out by applying it to a part of the urban transport network of Sofia for two route lines, and the defined resistance function for the specific type of transport (bus transportation) is used to compile the O-D matrix
Keywords
O-D matrix Synchronization of the tımetable Waiting time Urban transport Overlapping routes
References
- Jeongwook S., Shin-Hyung Ch., Dong-Kyu K., & Peter P. (June 2020). Analysis of overlapping origin-destination pairs between bus stations to enhance the efficiency of bus operations. Wiley. IET Intelligent Transport Systems 14(6):545–553. https://doi.org/10.1049/iet-its.2019.0158-
- Kevin B. Modi, L. B. Zala, F. S. Umrigar, T. A. Desai, (2011),“Transportation planning models: A review“, National Conference on Recent Trends in Engineering & Technology, B.V.M. Engineering College, V.V.Nagar, Gujarat, India, 13-14 May 2011
- Mohammed M., & Jimi O. (March 2023). Origin-destination inference in public transportation systems: A comprehensive review. International Journal of Transportation Science and Technology Volume 12, Issue 1, Pages 315-328. https://www.sciencedirect.com/science/article/pii/S2046043022000223
- Novačko, L., Šimunović, Lj., & Krasić, D., (2014). Estimation of origin-destination trip matrices for small cities. Traffic &Transportation, Vol. 26, No. 5, 419-428
Details
| Primary Language | English |
|---|---|
| Subjects | Software Quality, Processes and Metrics |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | August 15, 2023 |
| Publication Date | September 1, 2023 |
| Published in Issue | Year 2023Volume: 22 |
