Bus priority at traffic signals investigating the options industry
I am bus priority at traffic signals investigating the options industry to help buses as they provide sustainable alternatives to car. D his research interests were mainly bus priority at traffic signals investigating the options industry on the development of a microscopic simulation model SIMBOL and its application to develop advanced bus priority strategies incorporating AVL Automatic Vehicle Location systems.
He is mainly involved in the research area of bus Priority at traffic signals and new urban traffic management technologies. He was involved in the various studies carried out in the area of bus priority at traffic signals, using simulation model SIMBOL.
Apart from bus priority, Birendra was also involved in various researches including: At present, Birendra is analysing the need of older people using public transport and existing facilities available to develop recommendations for future research requirements; working to develop methodology for transferring innovative urban transport and mobility measures from one city to another; and researching the ways to open up traffic data for enhanced traveller information.
Birendra is interested to research into the way to reduce traffic congestion in urban areas using various Intelligent Transport Systems ITS applications.
Reducing bus delays at traffic signals Buses are very effective in utilising roadspace with their high passenger carrying capacity. As they are one of the viable alternatives to address growing congestion, reducing their delays is an important transport agenda. In urban areas, where there are a number of traffic signals, the delays to the buses can be reduced is by giving them priority at traffic signals.
Specifically, the research is now being carried out to develop advanced strategies for giving targeted bus priority at traffic signals utilising such system. The research has involved a combination of state-of-the-art review, mathematical and statistical analyses along with the simulation modelling using SIMBOL, the model that I developed for this purpose.
Opening up traffic data for enhanced traveller information Traveller information is generated from a wide range of traffic data sources including those related to car park occupancy, incidents, roadworks, CCTV images and real time public transport operations.
Traditionally, such information is disseminated by local authorities using various media such as real time information signs at bus stops, VMS, SMS text, internet, etc. With the growing use of smartphones, there is an increasing trend of providing traveller information in such devices.
In such dissemination process, provision of traffic data in open access form allows any third party to develop apps which uses the. This approach enables the private sector to deliver travel information to the targeted users in a variety of ways that are easier to comprehend. This research carries out a number of city case studies around the world and develops requirements for successful implementation. Access to public transport can help older people to avail of goods, services, employment and other activities.
Recognising the growing population of older people, their needs addressed or reflected recognised in many national and international policies and measures are implemented. However, the level of implementation varies from country to country and place to place. This research analyses the current provisions against the needs of different GOAL profiles of older people identify the research gaps that need to be understood and tackled to make older people friendly public transport for 21st century.
Green light for buses. GOAL profiles of older people. Bus priority at traffic signals investigating the options industry of public transport needs of older people in a European context. Journal of Population Ageing10 4 Open data and the needs of older people for public transport information.
A new approach for co-operative bus priority at traffic signals. Calibration of bus parameters in microsimulation traffic modelling. Transportation Planning and Technology35 1 Data management and applications in a world-leading bus fleet. Transportation Research Part C: Emerging Technologies22 Modelling incidents for dynamic bus fleet management purposes: Enhancing park and ride with access control: Transport Policy18 bus priority at traffic signals investigating the options industry Review of urban traffic management and the impacts of new vehicle technologies.
Using global positioning system for bus priority in London: AVL based bus priority at traffic signals: European Journal of Transportation and Infrastructure Research5 1 Transferability and implementation issues of open data for application-based traveller information.
A new strategy for differential bus priority at traffic signals for high frequency services. Differential priority for London's buses at traffic signals using iBUS. Exploring priority strategies at traffic signals for London's iBUS. Investigating issues of differential bus priority for high frequency services.
New strategy options for bus bus priority at traffic signals investigating the options industry at traffic signals in London. Paper presented at European Transport Conference. Expanding the boundaries of bus priority at traffic signals in London. Implementing differential bus priority for timetabled service. Paper presented at European Transport Conference. Using GPS for bus priority in London: Traffic signals close to bus stops.
Bus priority at traffic signals: Institute of Electrical and Electronics Engineers. Simulating advanced bus priority strategies at traffic signals.
Paper presented at 10th World Congress for Transport Research. Other University of Southampton sites shrestha.
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