Improving travel efficiency by parking permits distribution and trading

2011 ◽  
Vol 45 (7) ◽  
pp. 1018-1034 ◽  
Author(s):  
Xiaoning Zhang ◽  
Hai Yang ◽  
Hai-Jun Huang
Keyword(s):  
Travel Efficiency ◽  
Parking Permits

Recent advances on urban taxi sharing systems with the path arrival probability

2020 ◽  
Vol 13 ◽  
Author(s):  
Dui Hongyan ◽  
Zhang Chi
Keyword(s):  
Failure Probability ◽  
Traffic Congestion ◽  
Optimal Strategy ◽  
Time Windows ◽  
Optimal Path ◽  
Route Planning ◽  
Driving Time ◽  
Load Rate ◽  
Travel Efficiency ◽  
Arrival Probability

Background : Taxi sharing is an emerging transportation arrangement that helps improve the passengers’ travel efficiency and reduce costs. This study proposes an urban taxi sharing system. Methods: Considering each side congestion of the transport network, their corresponding reliability and failure probability are analyzed. Under the constraints of the number of passengers and their own time windows, the analysis is performed on passengers whose optimal path is inclusive. Results: According to the optimal strategy, the different passengers can be arranged into the same taxi to realize the taxi sharing. Then the shared taxi route can be optimized. Conclusion: Due to the reasonable vehicle route planning and passenger combination, these can effectively alleviate the traffic congestion, save the driving time, reduce the taxi no-load rate, and save the driving distance. At last, a numerical example is used to demonstrate the proposed method.

scholarly journals Residential parking permits and parking supply

2014 ◽  
Vol 45 ◽  
pp. 33-44 ◽  
Author(s):  
Jos van Ommeren ◽  
Jesper de Groote ◽  
Giuliano Mingardo
Keyword(s):  
Parking Permits ◽  
Residential Parking

Evaluation of the parking permits scheme for residents in Thessaloniki, Greece

2016 ◽  
pp. 37-43 ◽  
Author(s):  
G Mintsis ◽  
C Taxiltaris ◽  
S Basbas ◽  
Y Stathis
Keyword(s):  
Parking Permits

scholarly journals Impact Assessing of Traffic Lights via GPS Vehicle Trajectories

2021 ◽  
Vol 10 (11) ◽  
pp. 769
Author(s):  
Zhuhua Liao ◽  
Hao Xiao ◽  
Silin Liu ◽  
Yizhi Liu ◽  
Aiping Yi
Keyword(s):  
Urban Areas ◽  
Low Cost ◽  
Traffic Data ◽  
Traffic Lights ◽  
Vehicle Trajectories ◽  
Gps Trajectories ◽  
Standard Classification ◽  
Auc Value ◽  
Travel Efficiency ◽  
The Impact

The adaptability of traffic lights in the control of vehicle traffic heavily affects the trafficability of vehicles and the travel efficiency of traffic participants in busy urban areas. Existing studies mainly have focused on the presence of traffic lights, but rarely evaluate the impact of traffic lights by analyzing traffic data, thus there is no solution for practicably and precisely self-regulating traffic lights. To address these issues, we propose a low-cost and fast traffic signal detection and impact assessment framework, which detects traffic lights from GPS trajectories and intersection features in a supervised way, and analyzes the impact range and time of traffic lights from intersection track data segments. The experimental results show that our approach gains the best AUC value of 0.95 under the ROC standard classification and indicates that the impact pattern of traffic lights at intersections is high related to the travel rule of traffic participants.

scholarly journals Research on Decision Evaluation Model of HOV Lane Setting

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Ding Lv ◽  
Qunqi Wu ◽  
Bo Chen ◽  
Yahong Jiang
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Evaluation Model ◽  
Path Selection ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Travel Efficiency ◽  
Hov Lanes ◽  
The City

In order to achieve the purpose of improving the travel efficiency of commuters in the periphery of the city, expanding the beneficiary groups of urban rail transit, and alleviating urban road traffic congestion, when planning and setting up HOV in the periphery of the city, it is necessary to analyze the feasibility of HOV lane setting from both the demand conditions and the setting conditions. This paper combines machine learning to construct a decision-making evaluation model for HOV lane setting and studies the optimal layout model and algorithm of HOV lanes in service rail transit commuter chain. The setting, planning, and layout of HOV lanes are a two-way interactive process of traveler's path selection and designer's road planning. Finally, after the model is constructed, the performance of the system model is verified. The results show that the system studied in this paper can be used for traffic data and lane planning analysis. Therefore, in the process of urban operation, the HOV model constructed in this paper is mainly used to alleviate urban traffic and improve urban operation efficiency.

scholarly journals IMPLEMENTASI CONTEXT AWARE PADA SISTEM TRAVEL PLANNER BERBASIS MOBILE

2021 ◽  
Vol 5 (1) ◽  
pp. 23-27
Author(s):  
Viery Darmawan ◽  
◽  
Rengga Asmara ◽  
Ira Prasetyaningrum
Keyword(s):  
Contextual Information ◽  
The Internet ◽  
Context Aware ◽  
New Approach ◽  
Tourist Attractions ◽  
Technological Advances ◽  
Long Time ◽  
Travel Efficiency ◽  
Opening And Closing

In the era of technological advances, tourists will first seek information about the tourist object to be addressed, even tourists often don't have a destination, so they have to search one by one via the internet. In determining travel plans, it is often to see one by one the review of tourist attractions and conclude the results will take a long time, while tourists need actual and fast information to determine the travel plans. In this study, the authors take a new approach, namely by creating a mobile-based travel planner system that compiles travel plans automatically by considering contextual information related to tourist location points, whether of tourist locations during travel days, travel opening and closing hours, so that it will increase travel efficiency without having to do the research manually which takes a long time. The system can also provide travel recommendations based on visitor comments sentiment on Google Places and is equipped with a trip route that will be generated automatically. This research is useful for helping tourists plan their trip actually because of the consideration of contextual information so that it will make it easier and save tourists time.

Air-travel efficiency

Physics World ◽  
2020 ◽  
Vol 33 (7) ◽  
pp. 25-26
Author(s):  
Nick Cook
Keyword(s):  
Air Travel ◽  
Travel Efficiency

scholarly journals Optimizing Bus Line Based on Metro-Bus Integration

2020 ◽  
Vol 12 (4) ◽  
pp. 1493 ◽  
Author(s):  
Junjun Wei ◽  
Kejun Long ◽  
Jian Gu ◽  
Qingling Ju ◽  
Piao Zhu
Keyword(s):  
Resource Allocation ◽  
Optimization Model ◽  
Geographical Location ◽  
Optimization Method ◽  
Line Number ◽  
Competition And Cooperation ◽  
Travel Efficiency ◽  
Geographical Space ◽  
Metro System

Metros are usually built and added on the basis of a completed bus network in Chinese cities. After the metro construction, it is faced with the problem of how to adjust and optimize the original bus lines based on the new metro system. This research mainly proposes a bus line optimization method based on bus and metro integration. In the consideration of the geographical space, the cooperation and competition relationship between bus and metro lines is qualitatively introduced according to the geographical location and service range of metro (800 m radius) and bus (500 m radius) stations. The competition and cooperation indexes are applied to define the co-opetition relationship between bus and metro lines. The bus line optimization model is constructed based on the co-opetition coefficient and Changsha Metro Line Number 2 is chosen as a case study to verify the optimization model. The results show that the positive competition, efficient cooperation, and travel efficiency between metro and bus has been significantly enhanced after optimization. Moreover, this paper provides a reasonable reference for public transport network planning and resource allocation.

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