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All the available modes of travel and their respective travel parameters must be known to the commuters before their trip. Otherwise they may either spend more money or more time for the trip. In addition to this, recent pandemic, rapidly spreading novel corona virus is demanding a smart solution for contactless commuting. This paper suggests a practical solution to make both the above possible and it emphasizes the applicability of two developed android applications, one for travel data collection and another to predict travel time for a multimodal trip within the study area. If the whole trip is by a single mode, the user can get the corresponding travel time estimate from “Google maps”. But, if the trip is by multiple modes, it is not possible to get the total travel time estimate for the whole trip at a time from “Google maps”. A separate travel mode for “auto” is unavailable in “Google maps” alongside drive, two-wheeler, train or bus and walk alternatives. It is also observed that the travel time estimate of “Google maps” for the city buses is inaccurate. Hence, the two modes (Buses and Autos) were chosen for the study. Unless and until the travel times and stopping times of the two modes are known, it is not possible to predict their trip times. Hence, the mobility analysis was performed for the two modes in the study area to find their respective average travel rate at peak hours, across 15 corridors and the results were presented.
Czasopismo
Rocznik
Tom
Strony
397--409
Opis fizyczny
Bibliogr. 10 poz., il., tab.
Twórcy
- Dept. of Civil Engineering, K. L. University, Vijayawada, India
- Dept. of Civil Engineering, K. L. University, Vijayawada, India
Bibliografia
- [1] S. Seyedehsan, M. Amirreza, H. Sajjad, B. Ali, “Impact of Carpooling on Fuel Saving in Urban Transportation: Case Study of Tehran”, Procedia - Social and Behavioral Sciences, 2012, vol. 54, pp. 323-331, DOI: 10.1016/j.sbspro.2012.09.751.
- [2] Census of India, “Cities having population 1 lakh and above: Table 2, Provisional Census Report 2011, Government of India”, 2014.
- [3] World population review, “Hyderabad population 2020: An estimate based on UN world urbanization prospects”, 2018. [Online]. Available: https://worldpopulationreview.com/world-cities/hyderabadpopulation. [Accessed: 06. Aug. 2021].
- [4] D. Harsha, A. Girish, “Mapping bus transit services in Hyderabad - An illustrative example of the use of open geospatial data”, Transportation Research Procedia, 2017, vol. 25, pp. 4196-4206, DOI: 10.1016/j.trpro.2017.05.369.
- [5] K.K. Dewan, I. Ahmad, “Carpooling: A Step To Reduce Congestion (A Case Study of Delhi)”, Engineering Letters, 2007, vol. 14. [Online]. Available: http://www.engineeringletters.com/issuesv14/issue_1/EL14112.pdf. [Accessed: 05. Aug. 2021].
- [6] M. Sunita, “Proposed Landuse Zoning of Metropolitan Development Plan-2031 for Hyderabad Metropolitan Region”, Hyderabad Metropolitan Development Authority, 2020. [Online]. Available: https://housing.com/news/hyderabad-master-plan. [Accessed: 08. Aug. 2021].
- [7] C. Steger-Vonmetz, “Improving modal choice and transport efficiency with the virtual ridesharing agency”, in Proceedings the 8th International IEEE Conference on Intelligent Transportation Systems 2005. 2005, pp. 994-999, DOI: 10.1109/ITSC.2005.1520186.
- [8] B. Chidambaram, D. Zikos, “Congestion Mitigation Measure in Hyderabad- A Midnight Summer Dream”, in Südasien-Chronik - South Asia Chronicle. Südasien-Seminar der Humboldt-Universität zu Berlin. 2012, no. 2, pp. 58-92, DOI: 10.18452/17963.
- [9] R. Hasan, A.H. Bhatti, M.S. Hayat, H.M. Gebreyohannes, S.I. Ali, A.J. Syed, “Smart Peer Car Pooling System”, presented at 3rd MEC International Conference on Big Data and Smart City, 15-16 March 2016, DOI: 10.1109/ICBDSC.2016.7460384.
- [10] J. Yao, Z. Cheng, F. Shi, S. An, J. Wang, “Evaluation of exclusive bus lanes in a tri-modal road network incorporating carpooling behavior”, Transport Policy, 2018, vol. 68, pp. 130-141, DOI: 10.1016/j.tranpol.2018.05.001.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a1cbb291-2ab4-480e-849d-14e50b8d738a