How can you improve public transit with intelligent transportation systems?

Real-time has been used in public transport for a while now. The next step is to agglomerate data to have coherent data between PTAs and PTOs and between different modes of transport so real-time data would be available for the whole passenger's travel chain. In order to create this, we need shared data models and standards to validate information. In this regard, Transmodel, GTFS and NeTEx are the right steps. Probable obstacles may be data availability (especially open data), IPR questions, legacy software and applications and different security and safety questions.

One of the common use intelligent public transport is we get real time information which is for the user but on the deeper side this help public transit agency to achieve the exclusiveness in integration. It would automised the billing and provide the information to the agency. Security and Safty management easy out for the authority This all play a bigger role then just the information on the user side

Not Only Real time information but forecasting the next hours, maybe even days. An example that might result of real-time information is actually trying to forecast ahead traffic flows of each mean of transportation. For example, an ITS would be able to forecast traffic flow for the next hours, maybe even days based on current real time data enabling the possibility of decisions to be made in order to avoid any possible congestions or bottlenecks.

We already offer real-time information but the challenge is that not many buses actually display i on board. Yes if you have the PT app you can access more information. ITS can be expanded to passenger volumes, incidents along the route that may affect timing of arrival, traffic flows at that time of day. From a passenger's perspective, they don't want all of the data but realtime notification of their buses location and if an incident will delay it and what they can do to not be late to their end destination.

Intelligent Transport Systems (ITS), also known as transport Telemetics, are transport systems that apply modern information technologies to improve the operation of transport networks. the system acquire vast volume of data on various aspects of transport operation, process them and apply the result to guide traffic, improve operations enhance. safety and transport costs. How to improve public transit with Intelligent Transportation systems. 1, Monitoring traffic flow, provide information to drivers on the congestion on the road, road closure, alternatives routes weather condition and speeds to be observed. 2, Electronics fare collection. The modern technology can be used to collect fares and future booking of transport. 3, Reduce fraud

Yes, smart ticketing can generate useful data for different forward development ideas or implementations. We can see smart ticketing assisting in actual-real time dispatching of respective vehicles thus ensuring a higher utilization of any type of buses, trams, trains, etc networks. Applying smart ticketing also assists in applying various research studies for urban planning, traffic management, infrastructure developments, etc.

Tap and pay faculty would play a bigger role and this would provide ticketing data but more imp it will reduce the cash pilferage in system and make the ticketing easy and fast

I can see that such an example, in addition, encourages the possibility of mainstreaming public transportation use in different cities especially where the public transport systems are poorly utilized vs high private vehicles ownerships.

These implementations are already in play on trams in Melbourne. It would be interesting if the Bus could see the traffic ahead of it and tell the traffic light that it needs priority to pass by the vehicles and move ahead of them. Mobileye has vision of the road ahead, interpreting the traffic around the vehicle. This data is not used but it might be accessible at some stage to feed other systems. Google and other phone data can also feed traffic volumes around the bus.

Minimizing the respective risks would having such AVs communicate to everything, not only infrastructure peripherals nor its own. AVs will be able to communicate using Vehicle-to-everything technology which by any means they are connected to sensors, cameras, WiFis, 5G Tech, of any surrounding infrastructures or any surrounding vehicles. Such structured communication would be able to cross communicate relative surrounding information that of clusters, cities, etc thus minimizing relative potential risks.

ITS related Data Analytics could potentially scale and collaborate on a global layer of transportation systems and traffic management. Communication between different countries, Airports, Ports, Rail Networks, Infrastructures, AVs, Scooters, Bicycles, Mobile phones, Smart watches, etc. will create a one connected global transportation network by the Power of Data Analytics.

I believe another data source which will be beneficial is ADAS. At Mobileye we call this Smart ADAS. It looks at ADAS data looking at the likelihood of a collision at a certain time of day, location and even weather condition. So if a particular intersection is a known accident zone, ADAS can advise drivers to slow down and keep a greater distance knowing that at 3pm there is an x chance of an accident.