scholarly journals Real-time urban regional route planning model for connected vehicles based on V2X communication

2020 ◽  
Vol 13 (1) ◽  
pp. 517-538 ◽  
Author(s):  
Pangwei Wang ◽  
Hui Deng ◽  
Juan Zhang ◽  
Mingfang Zhang
Keyword(s):  
Land Use ◽  
Travel Time ◽  
Real Time ◽  
Land Use Planning ◽  
Route Planning ◽  
Urban Traffic ◽  
Urban Transport ◽  
Connected Vehicles ◽  
Planning Model ◽  
Optimal Route

Advancement in the novel technology of connected vehicles has presented opportunities and challenges for smart urban transport and land use. To improve the capacity of urban transport and optimize land-use planning, a novel real-time regional route planning model based on vehicle to X communication (V2X) is presented in this paper. First, considering the traffic signal timing and phase information collected by V2X, road section resistance values are calculated dynamically based on real-time vehicular driving data. Second, according to the topology structure of the current regional road network, all predicted routes are listed based on the Dijkstra algorithm. Third, the predicted travel time of each alternative route is calculated, while the predicted route with the least travel time is selected as the optimal route. Finally, we design the test scenario with different traffic saturation levels and collect 150 sets of data to analyze the feasibility of the proposed method. The numerical results have shown that the average travel times calculated by the proposed optimal route are 8.97 seconds, 12.54 seconds, and 21.85 seconds, which are much shorter than the results of traditional navigation routes. This proposed model can be further applied to the whole urban traffic network and contribute to a greater transport and land-use efficiency in the future.

scholarly journals A Review on the Significance of Integrated Transportation and Land Use Planning Model for the Planning of Urban Areas

2021 ◽  
Author(s):  
Sebastian Anju
Keyword(s):  
Land Use ◽  
Best Practices ◽  
Land Use Planning ◽  
Urban Areas ◽  
Planning Model ◽  
Housing Shortage ◽  
Mixed Land Use ◽  
Land Use Development ◽  
The Relationship ◽  
Travel Length

Planning for transportation infrastructure takes significant role in development of urban areas. Proper planning is needed for eliminating the problems like overcrowding, housing shortage, congestion etc. So there is a need of integrating transportation and land use. Transportation planning and the land use planning have to be done together. Integrating transportation with land use helps to decrease travel length and need to travel. Mixed land use development is more suitable for the urban areas. This paper critically reviews the importance of Integrated Transportation and Land Use planning (ITLUP) model in the planning of urban areas and applying this model as a solution for most of the problems facing in urban areas by analysing the best practices. The review also focuses on the relationship between land use and transportation by examining the parameters of ITLUP model.

scholarly journals CTM Based Real-Time Queue Length Estimation at Signalized Intersection

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Shuzhi Zhao ◽  
Shidong Liang ◽  
Huasheng Liu ◽  
Minghui Ma
Keyword(s):  
Real Time ◽  
Queue Length ◽  
Urban Traffic ◽  
Urban Transport ◽  
Signalized Intersection ◽  
Transmission Model ◽  
Time Interval ◽  
Short Time Interval ◽  
Cell Transmission Model ◽  
The Road

Queue length is an important index of the efficiency of urban transport system. The traditional approaches seem insufficient for the estimation of the queue length when the traffic state fluctuates greatly. In this paper, the problem is solved by introducing the Cell Transmission Model, a macroscopic traffic flow, to describe the vehicles aggregation and discharging process at a signalized intersection. To apply the model to urban traffic appropriately, some of its rules were improved accordingly. Besides, we can estimate the density of each cell of the road in a short time interval. We, first, identify the cell, where the tail of the queue is located. Then, we calculate the exact location of the rear of the queue. The models are evaluated by comparing the estimated maximum queue length and average queue length with the results of simulation calibrated by field data and testing of queue tail trajectories. The results show that the proposed model can estimate the maximum and average queue length, as well as the real-time queue length with satisfactory accuracy.

Multiobjective Land‐Use Planning Model

1993 ◽  
Vol 119 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Vedia F. Dökmeci ◽  
Gülen Çağdaş ◽  
Selma Tokcan
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Planning Model

MACHINE LEARNING ON CONGESTION ANALYSIS BASED REAL-TIME NAVIGATION SYSTEM

2011 ◽  
Vol 20 (04) ◽  
pp. 753-781
Author(s):  
KAI CHEN ◽  
KIA MAKKI ◽  
NIKI PISSINOU
Keyword(s):  
Machine Learning ◽  
Travel Time ◽  
Real Time ◽  
Navigation System ◽  
Prediction Models ◽  
Urban Traffic ◽  
Route Guidance ◽  
Highway Traffic ◽  
Data Set ◽  
Guidance Systems

In the metropolitan region, most congestion or traffic jams are caused by the uneven distribution of traffic flow that creates bottleneck points where the traffic volume exceeds the road capacity. Additionally, unexpected incidents are the next most probable cause of these bottleneck regions. Moreover, most drivers are driving based on their empirical experience without awareness of real-time traffic situations. This unintelligent traffic behavior can make the congestion problem worse. Prediction based route guidance systems show great improvements in solving the inefficient diversion strategy problem by estimating future travel time when calculating accurate travel time is difficult. However, performances of machine learning based prediction models that are based on the historical data set degrade sharply during a congestion situation. This paper develops a new navigation system for reducing travel time of an individual driver and distributing the flow of urban traffic efficiently in order to reduce the occurrence of congestion. Compared with previous route guidance systems, the results reveal that our system, applying the advanced multi-lane prediction based real-time fastest path (AMPRFP) algorithm, can significantly reduce the travel time especially when drivers travel in a complex route environment and face frequent congestion problems. Unlike the previous system,1 it can be applied either for single lane or multi-lane urban traffic networks where the reason for congestion is significantly complex. We also demonstrate the advantages of this system and verify the results using real highway traffic data and a synthetic experiment.

scholarly journals People's perception on urban traffic congestion; a case study on Chittagong Metropolitan City, Bangladesh

2013 ◽  
pp. 149-160
Author(s):  
Shahek MMA Al-Qadery ◽  
Md Muhibbullah
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Traffic Congestion ◽  
Secondary Data ◽  
Urban Traffic ◽  
Primary Data ◽  
Land Use Pattern ◽  
Metropolitan City

An attempt has been taken to identify the major causes of traffic congestion along with existing system deficiencies, their consequences, and finally a policy options are recommended on Chittagong Metropolitan City. For the study primary data were collected through questionnaire survey and secondary data were used from various sources. The collected data were analyzed by using statistical techniques. It was found that rapid growth of population, inefficient land use pattern, indiscriminate roadside uses, past urban development trends and inadequate land use planning are responsible for traffic congestion in the city area. Lack of coordination and integration of concerned institutions is one of the major system deficiencies of traffic congestion situation in the study area. Opinion survey revealed that the overall quality of transportation system of Chittagong city is unsatisfactory. DOI: http://dx.doi.org/10.3329/cujbs.v3i1.13415 The Chittagong Univ. J. B. Sci.,Vol. 3(1&2):149-160, 2008

scholarly journals Integrated Land Transport and Land Use Planning Opportunities for Reducing Carbon Dioxide Emissions in Urban New Zealand: A Case Study of the Wellington Region

2021 ◽  
Author(s):  
◽  
Leonie Waayer
Keyword(s):  
Climate Change ◽  
Land Use ◽  
New Zealand ◽  
Co2 Emissions ◽  
Land Use Planning ◽  
Carbon Dioxide Emissions ◽  
Regional Policy ◽  
Urban Transport ◽  
Policy Outcomes ◽  
Integrated Planning

<p>The New Zealand Government has the desire to be the first carbon neutral country in the world. Climate change policy has identified transport as a key contributor resulting in the goal to halve per capita domestic greenhouse gas emissions by 2040. In order to reduce CO2 emissions whilst achieving core land transport outcomes, this study focuses on the Wellington region and explores the available frameworks for integrated planning in land transport and transport-related land use. Legislation and regional policy is reviewed and international best practice in integrated planning is identified. Perspectives from practitioners in land transport and land use planning in New Zealand are given. Integrated planning in urban transport and design is well established in many developed countries but is not prevalent in New Zealand. Recent and proposed legislation and policy in land transport management and climate change aim to rectify this but the policy and planning landscape remains complex. Transit oriented development aligns well with regional policy outcomes and could contribute to CO2 emissions reductions in the long term. A reprioritisation of land transport investment away from fossil fuel dependency to support low carbon transport via active travel modes and freight movement by rail and sea is recommended.</p>

scholarly journals An Air Route Network Planning Model of Logistics UAV Terminal Distribution in Urban Low Altitude Airspace

2021 ◽  
Vol 13 (23) ◽  
pp. 13079
Author(s):  
Shan Li ◽  
Honghai Zhang ◽  
Zhuolun Li ◽  
Hao Liu
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Network Planning ◽  
Search Time ◽  
Route Planning ◽  
Planning Model ◽  
Optimal Route ◽  
Logistics Distribution ◽  
Route Network ◽  
Low Altitude

Traditional terminal logistics distribution in urban areas is mainly concentrated on the ground, which leads to increasingly serious air pollution and traffic congestion. With the popularization of unmanned aerial vehicle (UAV) techniques and the reform of low altitude airspace, terminal logistics distribution is expected to be carried out by drones. Therefore, it is of great significance to construct a reasonable air route network for logistics UAV to ensure the safety and efficiency of operations. In this paper, a single route planning model and an air route network planning model for UAV were constructed by fully considering the complex urban low altitude environment, the flight performance of UAV and the characteristics of logistics tasks to regulate the flights of drones. Then, taking Jiangjun Road Campus of Nanjing University of Aeronautics and Astronautics as an example, the improved cellular automata (CA) was adopted to search for the optimal route between different waypoints, and the optimal spanning tree algorithm was used to construct the route network. The experimental results demonstrated that the improved CA could greatly reduce search time and obtain the optimal route while enhancing safety. With the satisfaction of the voyage, the needs of logistics and distribution constraints, a network that had smaller intersection points and redundancy was generated. The models and core ideas proposed in this paper can not only regulate operation of drones but also provide a solid foundation for the distribution of logistics UAV in the future.

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