Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City

Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City

This thesis is submitted in partial fulfillment of the requirements for the degree of Masters of Arts in Governance and Development, 2020.

Bibliografiske detaljer
Hovedforfatter:	Mollah, Md Lokman Hossain
Andre forfattere:	Ahmed, Nasiruddin
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	Ride Sharing Traffic congestion BRTA RSS Dhaka City Ridesharing Traffic flow
Online adgang:	http://hdl.handle.net/10361/14816

Lignende værker

Pathao ride share making Dhaka City people’s life easier
af: Rahman, Bantee
Udgivet: (2022)

A machine learning approach to predicting and mitigating traffic congestion
af: Faisal, Abu Fatah Mohammed, et al.
Udgivet: (2024)

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
af: Saquib, Muhammad Sadman, et al.
Udgivet: (2019)

A novel approach to forecast traffic congestion using CMTF and machine learning
af: Chowdhury, Md. Mohiuddin, et al.
Udgivet: (2018)

Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
af: Ahmed, Ansar
Udgivet: (2017)

Reducing traffic congestion level of Dhaka city using policy based algorithm in SUMO
af: Islam, Khandker Mushfiqul, et al.
Udgivet: (2018)

Women’s perceptions towards ride-sharing services: The case of Dhaka city
af: Nowshin, Nahela
Udgivet: (2021)

BIGD Quarterly, October –December, 2016
af: BRAC Institute of Governance and Development, BRAC University
Udgivet: (2019)

An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system
af: Karim, Dewan Tanzim ul, et al.
Udgivet: (2016)

Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics
af: Hossain, Md. Shahriyar, et al.
Udgivet: (2022)

Traﬃc congestion reduction in SUMO using reinforcement learning method
af: Mouly, Radia Rahman, et al.
Udgivet: (2021)

Market acceptance of electronic car in ride sharing industry of Bangladesh
af: Ferdous, Afrin
Udgivet: (2019)

Real time traffic density measurement using computer vision and dynamic traffic control
af: Chowdhury, Md. Fahim, et al.
Udgivet: (2018)

Travel time prediction using machine learning and weather impact on traffic conditions
af: Deb, Bilash, et al.
Udgivet: (2018)

Role of Dhaka Metropolitan Police (DMP) in present traffic management system of Dhaka City
af: Arif, Md. Shamsul
Udgivet: (2014)

Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios
af: Gazi, Sami Muhammad, et al.
Udgivet: (2022)

An intelligent road traffic management system
af: Alam, Tahmid Tanzi, et al.
Udgivet: (2016)

Four way effective traffic management system
af: Mehraj, Fahad Sharif, et al.
Udgivet: (2023)

Impact of background utilization and background traffic on the foreground applications in a wide area network
af: Uddin, Zia, et al.
Udgivet: (2016)

An automated traffic signal management system
af: Chowdhury, Partha Narayan, et al.
Udgivet: (2017)

The Current state of ride-sharing apps in Bangladesh: are they successful in achieving customer satisfaction?
af: Al Muhit, Abdullah
Udgivet: (2024)

Night mode prohibitory traffic signs detection
af: Biswas, Rubel, et al.
Udgivet: (2017)

Traffic sign recognition using deep learning
af: Amir, Afia Binte, et al.
Udgivet: (2020)

A transformer based approach to detect the sentiment of drivers in ride sharing platforms
af: Chakraborty, Sovon
Udgivet: (2024)

Crowed source based traffic analysis using machine learning algorithm
af: Orthy, Marzia Khan, et al.
Udgivet: (2017)

The longest ride
af: Sparks, Nicholas
Udgivet: (2013)

Telecommunications switching, traffic and networks /
af: Flood, J. E. (John Edward), 1925-
Udgivet: (1999)

Image classification using deep neural network for efficient identification of traffic sign
af: Saha, Sourajit
Udgivet: (2018)

Digitization of the entire traffic system and mitigation of the ongoing traffic crisis across cities of developing nations
af: Yasar, Mohammad Samin, et al.
Udgivet: (2016)

Performance of VoIP networks using MPLS traffic engineering
af: Faisal, Mohammed Fuad Ad, et al.
Udgivet: (2016)

Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author
Udgivet: (2018)

Tuning the TCP congestion control parameters to optimize client-server systems
af: Uddin, Jia, et al.
Udgivet: (2016)

IoT based smart traffic control system using sumo traffic simulator
af: Hossain, Sk Md Sunny, et al.
Udgivet: (2021)

Real time traffic monitoring system using crowd sourced GPS data
af: Md. Al Amin, et al.
Udgivet: (2015)

Queueing theory based vehicular traffic management system through Jackson Network Model and Optimization
af: Suma, Tanjim Mushtari, et al.
Udgivet: (2021)

Impact of black-hole and jellyfish attacks in MANET using HTTP traffic
af: Ahmed, Faisal, et al.
Udgivet: (2017)

Crowd source based traffic analysis using machine learning algorithm
af: Orthy, Marzia Khan, et al.
Udgivet: (2018)

Speed limit traffic sign recognition in night mode based on deformable spatial pyramid
af: Pinku, Subroto Nag
Udgivet: (2016)

Detection and classification of speed limit traffic signs
af: Biswas, Rubel, et al.
Udgivet: (2017)

LVQ and HOG based speed limit traffic signs detection and categorization
af: Biswas, Rubel, et al.
Udgivet: (2017)