Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System

Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System

ABSTRACT:

Real-time path planning can efficiently relieve traffic congestion in urban scenarios. However, how to design an efficient path-planning algorithm to achieve a globally optimal vehicle traffic control still remains a challenging problem, particularly when we take drivers’ individual preferences into consideration. In this paper, we first establish a hybrid intelligent transportation system (ITS), i.e., a hybrid-VANET-enhanced ITS, which utilizes both vehicular ad hoc networks (VANETs) and cellular systems of the public transportation system to enable real-time communications among vehicles, roadside units (RSUs), and a vehicle-traffic server in an efficient way. Then, we propose a real-time path-planning algorithm, which not only improves the overall spatial utilization of a road network but reduces average vehicle travel cost for avoiding vehicles from getting stuck in congestion as well. A stochastic Lyapunov optimization technique is exploited to address the globally optimal path-planning problem. Finally, the transmission delay of the hybrid-VANET-enhanced ITS is evaluated in VISSIM to show the timeliness of the proposed communication framework. Moreover, system-level simulations conducted in Java demonstrate that the proposed path-planning algorithm outperforms the traditional distributed path planning in terms of balancing the spatial utilization and drivers’ travel cost.

EXISTING SYSTEM:

In Real-time monitoring and control on signalized arterials, a traffic management system with loop detectors for continuous traffic measurement and monitoring along arterials is introduced. However, inevitable drawbacks cast a shadow on the application of cellular systems and loop detectors. For cellular systems, as they are not dedicated for traffic data collection, the collection services can be highly costly, and the high volume of traffic data may also cause congestion for other cellular services. For the loop detectors, the deployment expense can also be very high. Moreover, the inaccuracy of position measurement becomes a problem for short-distance transmissions particularly in dense networks, which will degrade the performance of path planning.

DISADVANTAGES OF EXISTING SYSTEM:

• Cannot make quick response to an emergency or congestion due to a sudden accident
• Not dedicated for traffic data collection
• The collection services can be highly costly

PROPOSED SYSTEM:

In this project, a globally optimal path-planning algorithm is proposed for vehicles to avoid traffic congestion (including those caused by accidents) in a suburban scenario. With the real-time traffic information collection and decision delivery enabled by a hybrid-VANET-enhanced network, the road network resources are fully utilized, and the average travel cost of vehicles is significantly reduced. In addition, the impacts of VANETs on the path-planning algorithm are further discussed. 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 transportation system. Second, we design a real-time global path-planning algorithm to not only improve network spatial utilization but also reduce average vehicle travel cost per trip. A low complexity algorithm is developed based on Lyapunov optimization to make real-time path planning decisions.

ADVANTAGES OF PROPOSED SYSTEM:

• Average vehicle travel cost
• Reduce the delay
• Make a quick response

SYSTEM ARCHITECTURE:

BLOCK DIAGRAM:

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

• System :         Pentium IV 2.4 GHz.
• Hard Disk :         40 GB.
• Floppy Drive : 44 Mb.
• Monitor : 15 VGA Colour.
• Mouse :
• Ram : 512 Mb.

SOFTWARE REQUIREMENTS:

• Operating system : Windows XP/7/LINUX.
• Implementation : NS2
• NS2 Version : 2.28
• Front End : OTCL (Object Oriented Tool Command Language)
• Tool : Cygwin (To simulate in Windows OS)

REFERENCE:

Miao Wang, Hangguan Shan, Member, IEEE, Rongxing Lu, Member, IEEE, Ran Zhang, Xuemin (Sherman) Shen, Fellow, IEEE, and Fan Bai, “Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 64, NO. 5, MAY 2015.