Modelling the Impact of Bottlenecks on Arterial Travel Time Using Neural Networks

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Bottlenecks along signalized arterials are a major cause of capacity reduction and delay, which directly impact travel time along specific routes within an urban network. This research addresses the impacts of bottlenecks on arterial travel time under different traffic demand and geometric conditions. Neural network models are developed that quantify the impact of different types of bottlenecks on travel time. Different combinations of conditions are studied including variation in number of lanes, traffic demand (volume), length and position of bottlenecks, and presence of heavy vehicles. An extensive database of synthetic traffic data generated from microscopic traffic simulation is used. Link travel times are observed for different traffic demand levels/geometrics/bottleneck combinations. Different architectures of a back propagation neural network are evaluated. Results show that the neural network models are able to capture travel time with high accuracy. For comparison purposes, linear regression models are developed as well. The neural network models significantly outperformed the regression models. The results are a clear demonstration that neural network models can be a valuable tool for predicting travel time, a necessary piece of information for traffic routing and emergency evacuations under different traffic and geometric conditions.

روابط وملفات

التعريف والنوع

رقم الوثيقة

ef658e68-27c3-4398-818d-f710ea981a5a

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

45680_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":" Ghassan Abu-Lebdeh","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Azza Abdallah","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

Modelling the Impact of Bottlenecks on Arterial Travel Time Using Neural Networks

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

Ghassan Abu-Lebdeh

الإعداد

Azza Abdallah

الاقتباسات الببليوغرافية