Results 241 to 250 of about 22,275 (285)

Priority Control of Intelligent Connected Dedicated Bus Corridor Based on Deep Deterministic Policy Gradient. [PDF]

Sensors (Basel)
Shang C, Zhu F, Xu Y, Zhu G, Tong X.
europepmc   +1 more source

Determining the reliability of the Vitalight CO2 Monitor via the assessment of the carbon dioxide profile on city transit buses. [PDF]

PLoS One
Lessel CE, Goggins KA, Godwin AA.
europepmc   +1 more source

Travel-Time Prediction of Bus Journey With Multiple Bus Trips

IEEE Transactions on Intelligent Transportation Systems, 2019
Accurate travel-time prediction of public transport is essential for reliable journey planning in urban transportation systems. However, existing studies on bus travel-/arrival-time prediction often focus only on improving the prediction accuracy of a single bus trip.
Peilan He, Guiyuan Jiang, Siew-Kei Lam   +2 more
exaly   +4 more sources

Bus travel time prediction with real-time traffic information

Transportation Research Part C: Emerging Technologies, 2019
Abstract An important aspect of Intelligent Public Transportation Systems (IPTS) is providing accurate travel time information. Knowing arrival times of public vehicles in advance can reduce waiting times of passengers and attract more people to take public transport.
Jeffrey Chan, Goce Ristanoski, Sutharshan Rajasegarar   +2 more
exaly   +6 more sources

Predicting Travel Time of Bus Journeys with Alternative Bus Services

2019 International Conference on Data Mining Workshops (ICDMW), 2019
Accurate travel time prediction of public transport services is essential for reliable journey planning. Existing methods for journey time prediction typically assume a fixed journey route with predefined bus services. However, there usually exist multiple alternative bus services that can serve the same journey route (or a segment of the route); thus ...
Peilan He, Yidan Sun, Guiyuan Jiang, Siew-Kei Lam   +3 more
openaire   +3 more sources

Mapping of bus travel time to traffic stream travel time using econometric modeling

Journal of Intelligent Transportation Systems, 2020
Travel time is one of the most important traffic parameters for travelers, traffic managers, planners, and operators alike.
Banik, Sharmili, Vanajakshi, Lelitha, Bullock, Darcy M.   +2 more
openaire   +3 more sources

Public bus transit travel-time variability in Ankara (Turkey)

Transport Policy, 2012
This study aims to quantify and determine the underlying determinants of public bus transit travel-time variability using data collected in Turkey’s capital of Ankara.
Emine Yetiskul, Metin Senbil
exaly   +3 more sources

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Bus dispatching irregularity and travel time dispersion

2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2017
Service reliability is one of the most important determinants for shifting people to public transport. In low-frequency services, the reliability is considered in terms of punctuality, which becomes significant also from the standpoint of operators, given that punctuality indicators are generally included in business models.
COMI, ANTONIO, NUZZOLO, AGOSTINO, Brinchi, S, Verghini, R.   +3 more
openaire   +3 more sources

Bus Travel-Time Prediction with a Forgetting Factor

Journal of Computing in Civil Engineering, 2014
AbstractBus travel-time prediction has drawn a lot of research interests in previous literature.
Bin Yu, Ting Ye, Xiaomei Tian, Guobao Ning, Shiquan Zhong   +4 more
openaire   +1 more source