Dinson Assistant Professor Adi Shankara Institute of Engineering Department

                            Dinson Avarachan                                                                    Basil C Sunny            Department of Computer Science                                                         Assistant Professor                 Adi Shankara Institute of Engineering                                                                                                                                     Department of Computer Science                 and Technology,Kalady-683574                                      Adi Shankara Institute of Engineering                               [email protected]

com                                              and Technology, Kalady-683574                                                                                                                         [email protected]   CONNECTED NAVIGATION SYSTEM FOR URBAN BUS RIDERS Abstract— The(IoT) has great potential to overcome existing lack of public transportsystems. The key challenge of rapidly growing cities, is to provide effectivepublic transportation system. To overcome these existing deficiencies,embededsmart technologies can be applied to public transport domain. In thispaper,briefly explain about applying embedded smart technology to the publictransport domain using UBN methodology,IoT in Urban Bus Navigation(UBN) enablesnavigation system for bus riders.

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UBN provides two major services for busriders.The first one is Micro-Navigation and the second one is Crowd-Awareroute recommendation.TheMicro-Navigation service helps guidance for passengers along a busjourney by finding boarded bus vehicles and tracking progress of their journey.The Crowd-aware route recommendation service collects & predicts crowdlevels on bus journeys that helps the bus riders to find out better,efficientand less congusted routes. UBN system provides users with a superior awarenessof the state of the transport system and their travel options which translatesinto an improved public transport experience.These all helps the peoples to getpositive impact on public transport usage and encourage public bus journey.Keywords:Internet of Things (IoT), UBN System, Micro-Navigation, Ad-Hoc CommunicationWith Buses, Bus Crowd Density Estimation.

I.    INTRODUCTION  I Internetof Things (IoT) is the connection of things to Internet.The IoT allows objectsto be sensed or controlled remotely across existing network infrastructure,creating opportunities for more direct integration of the physical world intocomputer-based systems, and resulting in improved efficiency, accuracy andeconomic benefit in addition to reduced human intervention.The public bus transport systems have the capacity toabsorb large masses of urban travelers, their public image often suffers from anegative perception.First, from the passenger’s view point, bus networks indense urban areas are often considered as complex and tough tonavigate.Second,in contrast to private modes of transport, traveling on busesoffers only a low level of comfort and least convenience. Third,bus journeyslack a sense of personal control and ownership that is valued by car users.

Toovercome these existing deficiencies,embeded smart technologies can be appliedto public transport domain.The Urban Bus Navigator(UBN),an IoT enablednavigation system  forbus riders uses Micro-navigation technology and crowd aware routerecommendation methods for satisfying the needs.The UBN relies on a distributedIoT system comprising   anembedded bus computing system, backend computing infrastructure and a mobilesmartphone app to detect the  presenceof passengers on buses and provide continuous real-time navigation over thecomplete course of a bus journey.6 UBN system provides users with a superiorawareness of the state of the transport system and their travel options whichtranslates into an improved public transport experience. Navigation system forbus passengers that has the ability to seamlessly interconnect bus passengers withthe real-world public bus infrastructure.

All in all, UBN demonstrates thepotential of the IoT for delivering innovative urban transport experiences andenhances the use of public transportation services.II.    METHODOLOGYTheUBN system is built upon a distributed IoT infrastructure which enables thepassenger’s smartphone devices to interact with buses in real-time and buses tosense the presence of on board passengers6. Basedon these mechanisms, UBN provides two novel information services for bus passengers,theyare  Micro-navigation and Crowd-awareroute Recommendation.Figure 1Micro-navigationrefers to fine-grained contextual guidance of passengers along a bus journey byrecognizing boarded bus vehicles and tracking the passenger’s journey progress.Crowd-awareroute recommendation collects and predicts crowd levels on bus journeys tosuggest better and less crowded routes to bus riders.

Figure 1 Overview of the structure of bus journey UBNinvolves a set of distributed software and hardware components which aretightly integrated with the bus systemFigure 2. UBN composed of 3 keycomponents: 1. The network-enabled urban bus system with WiFi equipped busvehicles. 2. The UBN navigation app for bus riders. 3. The bus crowdinformation server to collect real-time occupancy information from busesoperating on different routes.

Figure 2 UBN SystemTheNetwork-enabled urban bus system sense real-world bus journeys of passengersand enable sharing of bus data with their mobile devices in an ad hoc manner.TheCrowd density estimation detects the number of passengers on a bus. For thepurpose of bus crowd density estimation,the WiFi-enabled devices carried bypassengers are periodically sending out probe requests according to theirIEEE802.11 protocol operation in order to detect the access points that arenearby. Each vehicle deploy WiFi access point that acts as a network monitor tocontinuously capture transmitted probe requests. Thus finding out the count ofpassengers.

The bus navigation system adds two novel components to the backendsystem for making effective use of the available bus occupancy information.1)Predicting Bus Occupancy From Crowd LevelHistories,2) Least Crowded Route Recommendation.The smartphoneapplication for bus passengers supports real-time navigation of buses byinteraction.Another method used for urban navigation transportationsystem is Novel Wireless Sensor Network Frame for Urban Transportation4.It discuss about the  requirements of WSN for urban transportation(WSN-UT) using a customized network topology.WSN-UT enables users to obtaintraffic and road information directly from the local WSN within its wirelessscope.

Wireless sensor network (WSN) technologies that are low cost, low power,and self-configuring are a key function in ITS. The potential applicationscenarios and design requirements of WSN for urban transportation (WSN-UT) areproposed in this work. A customized network topology is designed to meet thespecial requirements, and WSN-UT is specifically tailored for UT applications.WSN-UT enables users to obtain traffic and road information directly from thelocal WSN within its wireless scope instead of the remote ITS data center.WSN-UT can be configured according to different scenario requirements. Athree-level subsystem and a configuration and service subsystem constitute theWSN-UT network frame, and the service/interface and protocol algorithms forevery subsystem level are designed for WSN-UT.

Another method is  Characterizing Road Segments Using CompassSensors to Predict Approaching Bus Stops2.In this method it explains abouttechnologies that make arrival predictions through tracking vehicles in transitthrough GPS provides a personalized approach via smart phone that helps usersto take advantage of sensor data to learn and personalize their bus routes, andalert them on time when a bus stop is approaching.Two algorithms used in thismethod,1) Turn detection using on-board compass sensor of a smartphone.2)Characterizing road segments in terms of turns and thereby predictingapproaching bus stops.In this methodology design it avoids dependence onGPS functionality and instead relies on compass sensors, which are far moreenergy efficient.Another method is Intelligent Transportation System forDetection and Control of Congested Roads in Urban Centers1.

This paperproposes the uses Intelligent Transportation Systems technology. ITSs useadvances in technology in the areas of processing, sensing and communication tomonitor the traffic conditions in a particular region, manage and decreasecongestion, and reduce the number of accidents.A Vehicular Network is animportant component in an ITS.It contains network,vehicles are equipped withprocessors, sensors and wireless communication interfaces so that they can communicatewith one another and with the elements in the network infrastructure(RSU – RoadSide Unit), thus creating an ad hoc network while vehicles move through roadsand prevent congestion and improve the efficiency of transportation systems.III.    comparisonTable1 Comparison with other technique Title Method Advantage Disadvantage Connected navigation system for urban bus riders6 Micro-navigation.

High Accurate data, Encouragement, Improved satisfaction. Problems for typical passengers. A Novel Wireless Sensor Network Frame for Urban Transportation4 (WSN-UT) using a customized network topology.Itelligent Transportation Systems( ITSs). Reliable High Installation cost,contains low powered nodes,single node failure cause misbehaviour Characterizing Road Segments Using Compass Sensors to Predict Approaching Bus Stops2 1) Turn detection using on-board compass sensor 2) Characterizing road segments in terms of turns No need of GPS,Compass sensor used   Less accurate, non userfriendly An Intelligent Transportation System for Detection and Control of Congested Roads in Urban Centers1 EcoTrec Algorithm Reduce fuel consumption High calculation Time and Complexity F ENGINEERING AND TECHNOLOGY Department of computer science    IV.    ConclusionNavigationsystem for bus passengers that has the ability to seamlessly interconnect buspassengers with the real-world public bus infrastructure. The UBN relies on adistributed IoT system comprising an embedded bus computing system, backendcomputing infrastructure and a mobile smartphone app to detect the presence ofpassengers on buses and provide continuous real-time navigation over thecomplete course of a bus journey.

One of the limitation of UBN is typicalpassengers have few problems making micro-navigation decisions as they can relyon their eye-sight, memory, prior knowledge and general reasoning abilities.Due to substantial investment costs the system are only deployed in selectedcities and often lack information with traveler information systems. UBN is indeedexperienced by passengers as true navigation system and conceived differentlyfrom existing mobile transport apps.

All in all, UBN demonstrates the potentialof the IoT for delivering innovative urban transport experiences and enhancesthe use of public transportation services.References1  Brennand, C. A. R. L.

, de Souza, A. M., Maia,G., Boukerche,A., Ramos, H., Loureiro, A. A. F.

, and                       V illas, L. A. (2015).An intelligenttransportation system for detection and control of congested roads         in urban centers.Pages 663–668.

2   Chenchik, D., Chen, J., Yan, S., and Nirjon,S. (2017).Characterizing road segments using compass        sensors to predict approaching busstops.

pages 443–448. 3   Göka?ar, I. and Çetinel, Y.(2017).Evaluation of bus dwelling patterns using bus gps data.

pages 867–        871. 4  Hu, X., Yang, L., and Xiong, W.

(2015).Anovel wireless sensor network frame for urban        transportation.IEEE Internet ofThings Journal, 2(6):586–595. 5   Jodoin, J.

P., Bilodeau, G. A., and Saunier,N.

(2016).Tracking all road users at multimodal urban         traffic intersections.IEEETransactions on Intelligent Transportation Systems,17(11):3241–3251.6  Handte, M., Foell, S., Wagner, S., Kortuem,G.

, and Marrón,P. J. (2016).An internet-of-things           enabled connected navigation system forurban bus riders.IEEE Internet of Things Journal, 3(5):735–         744. 7  S. Stradling, M. Carreno, T.

Rye, and A.Noble, Passenger perceptions and the ideal urban bus        journey experience, Transp. Pol.

, vol.14, no. 4,pp. 283–292,(2007).8  B. Gardner and C. Abraham, What drives caruse? A grounded theory analysis of commuters’ reasons       for driving, Transp.

Res. F, TrafficPsychol. Behav., vol.

10, no. 3, pp. 187–200,(2007).

9  T. D. Camacho, M.

Foth, and A. Rakotonirainy,Pervasive technology and public transport:        Opportunities beyond telematics, IEEEPervasive Comput., vol. 12, no.

1, pp. 18–25, Jan./Mar(2013). 10J.

Hare, L. Hartung, and S. Banerjee, Beyond deployments andtestbeds:Experiences with public        usage on vehicular WiFi hotspots, in Proc.10th Int. Conf.

Mobile Syst. Appl. Serv. (MobiSys),          Ambleside, U.K,pp. 393–406,(2012).    .