Academic Journal

Modeling of BRT System Travel Time Prediction Using AVL Data and ANN Approach

التفاصيل البيبلوغرافية
العنوان: Modeling of BRT System Travel Time Prediction Using AVL Data and ANN Approach
المؤلفون: Baradaranshahidin, Milad, Shabani, Shahin, Khalilzadeh, Mohammadreza, Tahmasbi Ashtiani, Saman, Tajaddini, Siavash, Azimipour, Mohammad
بيانات النشر: Institute for Transport Studies in the European Economic Integration
سنة النشر: 2021
المجموعة: University of West Bohemia Digital Library / Digitální knihovna Západočeské univerzity v Plzni
مصطلحات موضوعية: Bus Rapid Transit (BRT), Travel Time Prediction, Artificial Neural Network (ANN), Linear Regression, Automatic Vehicle Location (AVL)
الوصف: Improving the quality of public transportation systems and encouraging passengers to use them are effective solutions for reducing transportation problems in metropolitan. Prediction of travel time and providing information to passengers are significant factors in this process. In this research not only the travel time components in Bus Rapid Transit (BRT) system were investigated but also an Artificial Neural Network (ANN) model and a regression model for travel time prediction were presented. To enhance this aim, data was collected by AVL data and field observation and after investigating the primary independent variables, the significant ones were determined using statistical analysis, then ANN development was done. Moreover, linear regression method was used for this purpose. The results prove that although both models have high level of prediction accuracy, ANN model outperform the regression model and the accuracy for the route sections with no signalized intersections is higher than the others.
نوع الوثيقة: article in journal/newspaper
وصف الملف: 16 s.; application/pdf
اللغة: English
تدمد: 1825-3997
Relation: European Transport / Trasporti Europei; BARADARANSHAHIDIN, M. SHABANI, S. KHALILZADEH, M. TAHMASBI ASHTIANI, S. TAJADDINI, S. AZIMIPOUR, M. Modeling of BRT System Travel Time Prediction Using AVL Data and ANN Approach. European Transport / Trasporti Europei, 2021, roč. 84, č. 6, s. 1-16. ISSN: 1825-3997; 2-s2.0-85123735748; http://hdl.handle.net/11025/51202; 743358400001
DOI: 10.48295/ET.2021.84.6
الاتاحة: http://hdl.handle.net/11025/51202
https://doi.org/10.48295/ET.2021.84.6
Rights: © Institute for Transport Studies in the European Economic Integration ; openAccess
رقم الانضمام: edsbas.260CB014
قاعدة البيانات: BASE
الوصف
تدمد:18253997
DOI:10.48295/ET.2021.84.6