A Survey on Indian Road Traffic using Crowd ITS
K. Swathi[1] K. Sugamya[2]
Assistant.Professor, IT Dept, CBIT, Hyderabad. Associate.Professor, IT Dept, CBIT, Hyderabad
Telangana, INDIA Telangana, INDIA
ABSTRACT
Congestion in road traffic could be a regular problem worldwide. In India, the matter is extremely felt in the majority major cities. This is often primarily owing to Growth in infrastructure is slow compared to growth in variety of vehicles, attributable to space and price constraints. Secondly, Indian traffic being non-lane based mostly and chaotic is essentially totally different from the western traffic. There's a necessity of automatic or Intelligent Transport System (ITS) for Indian roads. ITS techniques have to be compelled to bear adaptation and innovation to suit the different traffic characteristics of Indian roads. ITS makes use of varied sensing and communication technologies to help transportation authorities and vehicles drivers in creating informative choices and supply leisure and safe driving expertise. knowledge assortment and dispersion area unit of final importance for the right operation of ITS applications. various standards, architectures and communication protocols are anticipated for ITS applications. However, existing schemes area unit supported assumption that vehicles and edge devices area unit equipped with sensing and communication capabilities. One amongst the disadvantages of those approaches is inability to capture events which will simply be logged by drivers by their mobile phones. Fill this gap by Crowdsourcing in ITS. The inputs for Crowd ITS is human inputs and sensory knowledge collected and communicated to a process server with the help of mobile phones. The essential plan is to use the group with sensible mobile phones to modify bound ITS applications while not the necessity of any special sensors or communication devices, each in-vehicle and on-road. Although our paper focuses on the Indian traffic state of affairs owing to our active expertise of operating with it.
1. INTRODUCTION
India, the second most densely populated country within the world, and a quick growing economy, is seeing terrible road congestion issues in its cities. The administration has committed Rs.234,000 crores within the urban infrastructure sector [1]. Bus mass rapid transit (BRT), tube rails and mono rails square measure being inbuilt totally different cities to encourage the utilization of conveyance. However, still there's a steep growth of personal vehicles [2]. With the sharp growth within the IT Sector, there's a proportionate growth within the population, then increasing in transportation desires, meeting these desires impossible, chiefly attributable to space and cost constraints. Communication and sensing technology utilized in the transportation trade is wide termed as Intelligent Transportation System(ITS). Technology created its approach into ITS within the sorts of Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) paradigms [3]. These paradigms trust bound communication and sensing technology, e.g., WiFi, WiMax, short-range radiolocation, active RFID tags, etc.
Inter-vehicle and vehicle-to-infrastructure communications are 2 various however complementary paradigms to accumulate events information from outside sources. The primary theme is that the vehicular ad-hoc wireless communication and involves solely vehicles, i.e., the V2V model. The second theme is that the vehicles to infrastructure and involves mounted infrastructure-based wireless communication, i.e., the V2I model. Application of these schemes, and ITS generally, embody period safety and convenience applications (forward collision warning, blind spot detection, etc.) and non period (or close to real-time) management and leisure applications (congestion escaping, traffic reportage, etc.). Indian road holdup comes beneath the non-real time application is terribly difficult task.
Crowdsourcing, generally terms, is that the act of taking a job historically performed by a delegated worker and outsourcing it to an undefined, generally large group of people (a “Crowdâ€) in the form of open decision [4]. Technically speaking, Crowdsourcing may be a distributed problem-solving and production model. In such model, initially, the issues square measure developed during a format that may be understood simply by technical and non-technical people. These developed issues square measure then broadcast to unknown cluster of solvers, i.e., the Crowd, within the type open necessitate their solutions. The Crowd, sometimes unwoven along via web-based technology submits their solutions. The submitted solutions also can be sorted and
filtered out by the group itself, in seek for finding the most effective set of solutions. the ultimate solution(s) is then owned by the organization that initiated the matter, i.e., Crowdsourcer. In most cases, the trouble place in by the people, with one among the most effective solutions, is awarded monetarily or by some type of recognition. In different cases, the people square measure figuring out for his or her personal interests therefore personal satisfaction may also sufficient. These steps are depicted in Fig. 1.
Fig.1. Overview of main steps in Crowdsourcing
2. ITS applications
Indian traffic will get pleasure from many attainable ITS applications. One set of applications is for traffic management.
(1) Intersection management – At intersections, deciding the whole signal cycle and therefore the split of inexperienced times among totally different flows, is one among the foremost basic traffic management applications [5].
(2) Incident detection – Pinpointing locations of accidents or vehicle breakdown is vital to handle the emergency things.
(3) Vehicle classification – Knowing one what quite vehicles, and in what proportions, ply a definite road stretch, helps to settle on applicable road breadth and pavement materials.
(4) observance – Pollution and road quality observance are necessary for taking corrective measures.
(5) Revenue assortment – Toll taxes for infrastructure maintenance and fines for rule social control ought to be collected.
(6) Historical traffic information – future information helps to set up new infrastructure, calibrate traffic light times, add conveyance and then on.
Another set of applications will aid the commuters on roads.
(1) Congestion maps and time period estimates – These facilitate commuters in route choice.
(2) Conveyance info – info regarding arrival of conveyance helps in alternative of travel mode and reduces wait delays.
(3) Individual vehicle management – obtaining info regarding parking places or estimates of carbon footprint, facilitate homeowners of personal vehicles.
(4) Accident handling – Emergency services when accidents ar an important necessity
3. System Architecture
To handle any road application, the first thing that we need is information from the road. Sensors on roads can provide such information. There are several existing modes of sensing: static sensing, where sensors are statically placed on the road, mobile sensing, where sensors are placed in the moving vehicles and hybrid sensing, where both in-vehicle and on-road infrastructure are needed.
The CrowdITS architecture is composed of three major components. These components are Crowd sensing and interface, information processing, and localized device messaging.
The system architecture of CrowdITS is shown in Fig. 2. In the rest of this section, we explain the components of CrowdITS architecture.
Fig. 2: System architecture of the CrowdITS
A. Interface
Interface is of great importance in smart-phone enabled ITS applications. The interface can be interactive, pervasive or both. In interactive mode, the Crowd can enter events in two
ways. First, an interactive screen, shown in Fig. 3-b, wherein a list of events is available to choose from. As a single touch interface it avoids significant interference for the drivers. Second, using voice commands wherein pre-configured sets of commands are available. Using the voice commands the Crowd can specify the event, its severity, its expected timeout and other metadata (e.g., personal message). An event, as a consequence of using either input method, is auto-stamped with current time and geo-location.
B. Information Processing
The CrowdITS processing server provides three main services. These include information retrieval and storage, registration and authentication, and localized messaging to mobile devices.
Furthermore, additional services can also be developed, e.g., archiving and traffic prediction, information verification, web service, etc
Fig. 3: CrowdITS interface for posting an event, navigating
and GPS follow-up on an Android phone
C. Localized Device Messaging
Crowd generates large volume of information, which is then aggregated with.
5. Real Time Congestion Free Path
other sources to generate meaningful events for any geohash grid The Crowd subscribes to their respective interested grid(s) for potential notifications. These notifications can be pulled by the mobile phone or pushed by the processing server to the mobile phones. In CrowdITS, we adopted the push mechanism since it is energy-efficient and has lesser communication overhead for mobile phones. To enable this we integrated the CrowdITS with the Cloud based messaging service provided by Google, namely Cloud to Device Messaging (C2DM).
It is estimated that the annual cost of congestion for each driver is approximately $1000 and $200 for large and small cities, respectively. Traffic reporting, beside other solutions, is in-use to assist commuters to anticipate and avoid traffic problems. We can observe the difference between GPS based routing and Crowdsourcing based routing in Fig.4
Fig 4.1. GPS Routing Fig 4.2 CrowdITS Routing
Upon receiving any notification in the form of latitude longitude pair(s), from the Google C2DM, the CloudMade request is re-initiated. The notifications are uploaded into C2DM by the CrowdITS, as it collect and aggregates from Crowd and other sources. The newly formed CloudMade request contains the initial destination, current GPS location and the notified latitude and longitude pairs. In case of any path change, a freshly calculated geohash zones are used to re-subscribe to the CrowdITS server and the driver are re-navigated accordingly. This process is
repeated till the destination. The overall process is shown in Fig. 5
. Fig. 5 Timed flowchart of vehicle re-routing using CrowdITS
6. CONCLUSION
. In this paper, we make a small effort to put together the different ideas and people relevant in Indian ITS, so that it gives an overview of the problem and the available solutions.
In this paper, we illustrate the use of Crowdsourcing for non real-time ITS applications. Motivation is to enable these applications without the needs of deploying sophisticated sensors on the roads or complex communication devices within the vehicles. We describe the design of Crowdsourcing in ITS; namely, CrowdITS, explains various architectural components and report on the application development of congestion free path re-routing for the mobile phones.
References
[1]http://www.technologyreview.in/ computing/37647/.
[2]http://asiancorrespondent.com/39640/isindia-waiting-for-its-longest-trafficjam/.
[3] R. Bishop, Intelligent Vechicle Technology and Trends. Artech House Publishers, 2005.
[4] J. Howe, Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business. Crown Business, 2009.
[5] W. McShane, R. P Roesss, and E. Prassas. Traffic engineering. In Prentice-Hall, Inc, 1998.