Trip Planning Query Based on Partial Sequenced Route Algorithm

Author(s):  
Myint Myint Sein ◽  
Wai Mar Lwin ◽  
Myat Thiri Khine
2017 ◽  
pp. 2338-2343
Author(s):  
Feifei Li ◽  
Marios Hadjieleftheriou ◽  
George Kollios ◽  
Dihan Cheng ◽  
Shang-Hua Teng

2016 ◽  
Vol 12 (10) ◽  
pp. 86 ◽  
Author(s):  
Jingyi Bo ◽  
Yubin Wang ◽  
Na Xu

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; -ms-layout-grid-mode: line; mso-fareast-font-family: SimSun; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Combining the characteristics of wireless sensor network, the ant colony algorithm is applied to a wireless sensor network, and a wireless sensor network route algorithm based on energy equilibrium is proposed in this paper. This algorithm takes the energy factor into the consideration of selection of route based on probability and enhanced calculation of information so as to find out the optimal route from the source node to the target node with low cost and balanced energy, and it prolongs the life cycle of the whole network</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: SimSun; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">.</span>


Author(s):  
Nicholas S. Wood ◽  
Chris Simek ◽  
Susan T. Chrysler ◽  
Jeff Kaufman ◽  
Shawn Turner ◽  
...  

Travelers have many unique informational requirements to be able to navigate priced managed lanes. These demands often relate to specific managed lane features (e.g., access points, toll price) in addition to information about major traffic incidents and lane closures. Accommodating these needs with traditional roadway signage is a particular challenge given concerns about overloading and distracting drivers. This paper summarizes an investigation into traveler information systems for managed lanes, by considering a national review of current agency practices, a traveler survey, and an assessment for integrating advancing technologies. The national review found that many agencies vary considerably in pricing structure, number, and placement of priced destination points, and online availability of real-time toll information. A travel survey of 866 Texas-based respondents indicated that drivers prioritize information about traffic incidents and lane closures over toll price data (94% and 88% versus 41%, respectively). A higher share of respondents wanted to see travel time and incident alerts on in-vehicle devices, compared with a more statistically significant desire for destination and toll rate information on roadway signs. Most respondents use smartphone applications and mapping websites for pre-trip planning purposes (79% and 65%, respectively) compared with TV and radio reports (13%). Comparatively, prior research published 5 years earlier found that radio was a highly influential media in influencing behavior. This paper suggests a pathway for agencies to adopt a flexible approach for sharing essential data with third-party entities, based on the general transit-feed specification used for transit.


Author(s):  
Tomáš Řezník ◽  
Martina Klocová ◽  
Filip Leitner ◽  
Tomáš Pavelka ◽  
Lukáš Herman ◽  
...  

Author(s):  
Md. Sabir Hossain ◽  
Ahsan Sadee Tanim ◽  
Nabila Nawal ◽  
Sharmin Akter

Background: Tour recommendation and path planning are the most challenging jobs for tourists as they decide Points of Interest (POI).Objective: To reduce the physical effort of the tourists and recommend them a personalized tour is the main objective of this paper. Most of the time people had to find the places he wants to visit in a difficult way. It kills a lot of time.Methods: To cope with this situation we have used different methodology. First, a greedy algorithm is used for filtering the POIs and BFS (Breadth First Search) algorithm will find POI in terms of user interest. The maximum number of visited POI within a limited time will be considered. Then, the Dijkstra algorithm finds the shortest path from the point of departure to the end of tours.Results:  This work shows its users list of places according to the user's interest in a particular city. It also suggests them places to visit in a range from the location of the user where a user can dynamically change this range and it also suggests nearby places they may want to visit.Conclusion: This tour recommendation system provides its users with a better trip planning and thus makes their holidays enjoyable.


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