CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproj...
CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproj...
CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproj...
CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproj...
CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproj...
CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproj...
CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproj...
Upcoming SlideShare
Loading in …5
×

Real time path planning based onhybrid-vanet-enhanced transportation system

58 views

Published on

GET IEEE BIG DATA,JAVA ,DOTNET,ANDROID ,NS2,MATLAB,EMBEDED AT LOW COST WITH BEST QUALITY PLEASE CONTACT BELOW NUMBER

FOR MORE INFORMATION PLEASE FIND THE BELOW DETAILS:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.

Email Id: praveen@nexgenproject.com
Mobile: 9791938249
Telephone: 0413-2211159
www.nexgenproject.com
NEXGEN TECHNOLOGY provides bulk ieee projects to its regular clients and satisfies all their requirements on time, Also it provides 24/7 supports to all its clients in delivering the resources which is including source code delivery ,Documents delivery, Algorithms delivery etc...,NEXGEN TECHNOLOGY is also having around 100 clients throughout India and across the World.

Published in: Engineering
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
58
On SlideShare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Real time path planning based onhybrid-vanet-enhanced transportation system

  1. 1. CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com REAL-TIME PATH PLANNING BASED ONHYBRID-VANET-ENHANCED TRANSPORTATION SYSTEM ABSTRACT Real-time path planning can efficiently relieve trafficcongestion in urban scenarios. However, how to design an efficientpath planning algorithm to achieve a globally optimal vehicle traffic control still remains a challenging problem, especiallywhen we take drivers’ individual preferences into consideration.In this paper, we first establish a hybrid intelligent transportationsystem (ITS), i.e., a hybrid-VANET-enhanced ITS, whichutilizes both vehicular ad hoc networks (VANETs) and cellularsystems of the public transportation system to enable real- timecommunications among vehicles, road-side units (RSUs), and avehicle-traffic server in an efficient way. we propose areal-time path planning algorithm, which not only improves theoverall spatial utilization of a road network but also reducesaverage vehicle travel cost for avoiding vehicles from gettingstuck in congestion. Stochastic Lyapunov optimization techniqueis exploited to address the globally optimal path planningproblem. Finally, the transmission delay of the hybrid VANETenhancedITS is evaluated in VISSIM to show the timeliness ofthe proposed communication framework. Besides, system-levelsimulations conducted in Java demonstrate that
  2. 2. CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com the proposedpath planning algorithm outperforms the traditional distributedpath planning in terms of balancing the spatial utilization anddrivers’ travel cost.Proposed system:Specifically, the contributions ofthis paper are threefold:• First, to facilitate the application of real-time path planning,we propose a hybrid- VANET-enhanced ITS framework,exploiting both the VANETs and the public transportationsystem. Based on the proposed hybrid ITSframework, a multi-hop message forwarding mechanismis designed to collect the real-time traffic informationor the emergent warning messages, which usually havestrict delay bounds. A theoretical analysis on the end-toendtransmission delay performance of the mechanism ispresented as well;• Second, we design a real-time global path planningalgorithm to not only improve network spatial utilizationbut also reduce average vehicle travel cost per trip. A lowcomplexityalgorithm is developed based on Lyapunovoptimization to make real-time path planning decisions.With the proposed path planning algorithm, the tradeoffbetween the overall network spatial utilization and drivers’preferences can be well balanced; and• Finally, the transmission performance of the hybrid-VANETs is first evaluated under different vehicle densitiesvia VISSIM, and then extensive simulations validatethe effectiveness and efficiency of the proposed pathplanning algorithm. The results confirm that our proposedpath planning algorithm is able to find alternative
  3. 3. CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com pathsfor vehicles to bypass congestion areas while reducing theaverage travel cost in an efficient, timely and coordinatedway. EXISTING WORK: Traffic congestion, caused by unbalanced traffic flow or asudden accident/incident, can cause late arrivals and additionalcost for drivers and becomes a major problem in the transportation.However, this cost due to traffic congestion can bereduced by route navigation or path planning with congestionavoidance. For example, the paths of vehicles can be replannedwith the shortest-path-based global positioning system (GPS)navigation [15], the accident duration prediction [16] and theroute reservation in advance [17]. However, these approachescannot make quick response to an emergency or congestiondue to a sudden accident, since a timely update on the trafficconditionis lacking. Thus, the real-time traffic informationbecomes indispensable to support the vehicular real-time pathplanning algorithm.To collect time-varying traffic-condition information, mostexisting works in conventional ITS usually rely on cellularsystems or loop detectors. In [18]–[21], cellphones or mobilesensors with cellular access have been investigated to collectreal-time traffic information for traffic forecast or reconstructionin experimental research. In [8], authors introduceatraffic management systemwith loop detectors for continuoustraffic measurement and monitoring along arterials.
  4. 4. CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com However,inevitable drawbacks cast a shadow on the application ofcellular systems and loop detectors. For cellular systems, asthey are not dedicated for traffic data collection, the collectionservices can be highly costly; the high volume of trafficdata may also cause congestion for other cellular services.For the loop detectors, the deployment expense can also bevery high. Besides, the inaccuracy of position measurementbecomes a problem for short-distance transmissions especiallyin dense networks, which will degrade the performance of pathplanning [22], [23]. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:  System : Pentium IV 2.4 GHz.  Hard Disk : 40 GB.  Floppy Drive : 1.44 Mb.  Monitor : 15 VGA Colour.  Mouse : Logitech.  Ram : 512 Mb. SOFTWARE REQUIREMENTS:  Operating system : Windows XP/7/LINUX/UBUNTU
  5. 5. CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com  Implementation : NS2  NS2 Version : NS2.2.28  Front End : OTCL (Object Oriented Tool Command Language)  Tool : Cygwin (To simulate in Windows OS) CONCLUSIONS In this paper, we have developed a hybrid-VANET-enhancedreal-time path planning for vehicles to avoid congestion inan ITS. We first propose a hybrid- VANET-enhanced ITSframework with functionalities of real-time traffic informationcollection, involving both V2V and V2Rcommunications inVANETs and cellular communications in public transportationsystem. Then, a globally optimal real-time path planningalgorithm is designed to improve overall spatial utilizationand reduce average vehicle travel cost, by means of Lyapunovoptimization. Extensive simulations have been conducted todemonstrate that the proposed path planning algorithm canachieve better performance than that without real-time pathplanning in terms of average moving delay as well as theadaptability to different accident durations and traffic densities.In our futurework, we intend to find large-scale real-worldvehicle traffic traces to further validate benefits of the proposedalgorithmin practical scenarios.
  6. 6. CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com REFERENCES [1] TTI, Texas Transportation Institute: urban mobility information, 2007Annual Urban Mobility Report. http://mobility.tamu.edu/ums. [2] M. Papageorgiou, C. Diakaki, V. Dinopoulou, A. Kotsialos, and Y.Wang, “Review of road traffic control strategies,” Proc. The IEEE,vol. 91, no. 12, pp. 2043-2067, 2003. [3] T. Hunter, R. Herring, P. Abbeel, and A. Bayen, “Path and travel timeinference from GPS probe vehicle data,” Proc. Neural InformationProcessing Systems Foundation, Vancouver, Canada, Dec. 2009. [4] H. Hartenstein and K. Laberteaux, VANET: vehicular applicationsand inter- networking technologies, John Wiley and Sons Publishers,2010. [5] http://www.nhtsa.gov/. [6] R. Lu, X. Lin, and X. Shen, “SPRING: A social-based privacypreservingpacket forwarding protocol for vehicular delay tolerantnetworks,” Proc. IEEE INFOCOM, San Diego, USA, Mar. 2010. [7] M. Wang, H. Liang, R. Zhang, R. Deng, X. Shen, “Mobility-awarecoordinated charging for electric vehicles in VANET-enhanced smartgrid,” IEEEJournalSelected Areas of Communications, to appear.
  7. 7. CONTACT: PRAVEEN KUMAR. L (,+91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com [8] A. Skabardonis and N. Geroliminis, “Real-time monitoring and controlon signalized arterials,” IEEE Journal of Intelligent TransportationSystems: Technology, Planning, and Operations, vol. 12, no. 2,pp. 64-74, 2008. [9] I. Leontiadis, G. Marfia, D. Mack, G. Pau, C. Mascolo, and M. Gerla,“On the effectiveness of an opportunistic traffic management systemfor vehicular networks,” IEEE Trans. on Intelligent TransportationSystems, vol. 12, no. 4, pp. 1537-1548, 2011. [10] N. Drawil and O. Basir, “Intervehicle-communication-assisted localization,”IEEE Trans. on Intelligent Transportation Systems, vol. 11,no. 3, pp. 678-691, 2010. [11] A. Khosroshahi, P. Keshavarzi, Z. KoozehKanani, and J. Sobhi,“Acquiring real time traffic information using VANET and dynamicroute guidance,” Proc. IEEE Computing, Control and Industrial

×