scholarly journals Sustainable Distribution Organization Based on the Supply–Demand Coordination in Large Chinese Cities

2018 ◽  
Vol 10 (9) ◽  
pp. 3042 ◽  
Author(s):  
Sijing Liu ◽  
Jiuping Xu ◽  
Xiaoyuan Shi ◽  
Guoqi Li ◽  
Dinglong Liu
Keyword(s):  
Traffic Congestion ◽  
Spatial Organization ◽  
Supply And Demand ◽  
Demand Management ◽  
Low Carbon ◽  
Spatial Mismatch ◽  
Chinese Cities ◽  
Urban Freight ◽  
The Road ◽  
Supply Capacity

In large Chinese cities, inefficient logistics organization, a rapid increase in freight demand, and the spreading of city logistics space have jointly contributed to the urban problems related to goods movement, such as spatial conflicts, traffic congestion, and air pollution. To address these problems and improve urban sustainability, we proposed a new spatial organization model of supply–demand coordination. We used the data from the Third China Economic Census and online point-of-interest (POI) for China’s four direct-controlled municipalities and 13 sub-provincial cities. We found that: (1) the freight supply and demand in China’s large cities are both spatially decentralized and clustered. However, there is a significant spatial mismatch between freight supply and demand in most of the studied cities. (2) The 17 studied cities can be divided into three types—highly unbalanced, unbalanced, and balanced—in light of the spatial mismatch between freight supply and demand. (3) The capacities of road surface and logistics nodes spatially differ. The supply capacity of the road systems in Beijing, Shanghai, and Guangzhou can only accommodate 18.4%, 35.5%, and 32.2% of the demand, respectively, while the supply capacity of the logistics nodes is more than twice that of the actual demand in these cities. Based on the findings, this paper proposed a differentiated method of demand management in different areas of the cities. To achieve the goals of low-carbon and sustainable development in logistics distribution, policy makers may consider planning urban freight activities along metro lines and intercity rail lines. Thus, this paper will provide a new perspective for understanding the urban freight distribution and management in large Chinese cities.

Path Reconstruction of Intelligent Traffic Based on Positive Feedback System

2014 ◽  
Vol 513-517 ◽  
pp. 3160-3164
Author(s):  
Xue Li Zhang
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Intelligent Systems ◽  
Supply And Demand ◽  
Demand Management ◽  
Reference Value ◽  
Feedback System ◽  
Urban Traffic ◽  
Urban Transport ◽  
Traffic Demand

Traffic congestion are prevalent in worldwide cities. The imbalance between demand and supply of urban traffic is the root cause of this problem. So taking effective measures to regulate traffic demand, and guiding the traffic problems of the supply and demand balance is the best way to solve traffic congestion. This paper improves the TDM measure, and combines with intelligent information platform for the design of a new urban transport demand management adaptability of dynamic traffic data analysis platform. The platform supported by the technology of wireless sensor communications, intelligent terminals, the Internet and cloud computing is facing with the dynamic needs of traffic flow and traffic congestion state to carry out the operations of spatiotemporal data mining, clustering, and track detection, and to apply it into the traffic hot spots, abnormal driving track, traffic congestion trends and traffic flow detection and analysis, which has a good reference value for the improvement of management and service level of traffic intelligent systems.

scholarly journals Mitigating Traffic Congestion on I-10 Mississippi River Bridge in Baton Rouge, LA

2019 ◽  
Vol 271 ◽  
pp. 06002
Author(s):  
Samir Ahmed ◽  
Osama Osman ◽  
Julius Codjoe
Keyword(s):  
Mississippi River ◽  
Traffic Congestion ◽  
Baton Rouge ◽  
Supply And Demand ◽  
Demand Management ◽  
Ramp Metering ◽  
Traffic Reduction ◽  
Simulation Results

The purpose of this study was to identify and evaluate treatments and strategies to mitigate traffic congestion on the I-10 Mississippi River Bridge in Baton Rouge, LA. Based on VISSIM simulation results, combination of supply- and demand-oriented measures will be required. Rehabilitation of the old bridge on US-190 and the existing US-190/US-61 corridor, overall demand management of I-10 EB traffic, reduction in percent trucks traveling eastbound on I-10 during the A.M. peak, and ramp metering at the on-ramp west of the I-10 Mississippi River Bridge appear to be feasible and effective solutions.

scholarly journals Solving Traffic Congestion through Street Renaissance: A Perspective from Dense Asian Cities

Urban Science ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 18 ◽  
Author(s):  
Liang Wen ◽  
Jeff Kenworthy ◽  
Xiumei Guo ◽  
Dora Marinova
Keyword(s):  
Land Use Planning ◽  
Traffic Congestion ◽  
Travel Demand ◽  
Supply And Demand ◽  
Demand Management ◽  
Holistic Approach ◽  
Residential Areas ◽  
Travel Demand Management ◽  
Traffic Demand ◽  
Work Related

Traffic congestion is one of the most vexing city problems and involves numerous factors which cannot be addressed without a holistic approach. Congestion cannot be narrowly tackled at the cost of a city’s quality of life. Focusing on transport and land use planning, this paper examines transport policies and practices on both the supply and demand sides and finds that indirect travel demand management might be the most desirable solution to this chronic traffic ailment. The concept of absorption of traffic demand through the renaissance of streets as a way for traffic relief is introduced from two perspectives, with some examples from dense Asian urban contexts to demonstrate this. Firstly, jobs–housing balance suggests the return of production activities to residential areas and sufficient provision of diverse space/housing options to deal with work-related traffic. The second approach is to promote the street as a multi-activity destination rather than a thoroughfare to access dispersed daily needs, and to advocate more street life to diminish non-commuting traffic. Based on this, suggestions for better transport planning policies are put forward.

scholarly journals MODELING TRANSPORT FLOWS UNDER CONDITIONS OF A LOADED STREET-ROAD NETWORK

2020 ◽  
Vol 2020 (1) ◽  
pp. 165-165
Author(s):  
Ol'ga Lebedeva
Keyword(s):  
Travel Time ◽  
Experimental Research ◽  
Traffic Congestion ◽  
Road Network ◽  
Supply And Demand ◽  
Route Selection ◽  
Traffic Flows ◽  
Urban Networks ◽  
The Road ◽  
Modeling Transport

Managing urban networks during traffic congestion requires the use of a dynamic model that allows you to simulate real situations with traffic flows with long queues and responses. To conduct experimental research in this area, it is possible to use a mesoscopic system for simulating traffic with calibration and taking into account the characteristics of the road. All supply and demand parameters (use of detectors, travel time) must be calibrated at the same time. In this study, calibration was performed using the route selection model, given overlapping routes

Study on the Internal Development Law of Supply-Demand Balance of Urban Road Traffic

2013 ◽  
Vol 401-403 ◽  
pp. 2127-2132
Author(s):  
Zhen Lv ◽  
Jun Li Tian ◽  
Xiang Li Zou
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Supply And Demand ◽  
Road Transport ◽  
Demand And Supply ◽  
Interval Model ◽  
Traffic Demand ◽  
The Road ◽  
Internal Development ◽  
Article Analysis

The road traffic problem is growing worse and worse, its roots in the imbalance of road transport supply and demand. This article analysis the characteristics of traffic supply, traffic demand and supply-demand balance to make sure that the interval of supply-demand balance is exist, meanwhile make the total length of road net as a parameter then work with the level of service of the road net to built a interval model to work out the interval, then get the internal development law of supply-demand balance by the combination of qualitative and quantitative. After get the law, people can use it to optimizing the limit traffic resource of city, consummating the knowledge frame of transportation planning, at last to remitting traffic congestion and making it convenient for people to travel.

scholarly journals How Will Digitalization Change Road Freight Transport? Scenarios Tested in Sweden

2020 ◽  
Vol 13 (1) ◽  
pp. 304
Author(s):  
Anna Pernestål ◽  
Albin Engholm ◽  
Marie Bemler ◽  
Gyözö Gidofalvi
Keyword(s):  
Freight Transport ◽  
Sustainable Transportation ◽  
Transport Sector ◽  
Strategic Uncertainty ◽  
Scenario Development ◽  
Service Levels ◽  
Urban Freight ◽  
The Road ◽  
Road Freight ◽  
On The Road

Road freight transport is a key function of modern societies. At the same time, road freight transport accounts for significant emissions. Digitalization, including automation, digitized information, and artificial intelligence, provide opportunities to improve efficiency, reduce costs, and increase service levels in road freight transport. Digitalization may also radically change the business ecosystem in the sector. In this paper, the question, “How will digitalization change the road freight transport landscape?” is addressed by developing four exploratory future scenarios, using Sweden as a case study. The results are based on input from 52 experts. For each of the four scenarios, the impacts on the road freight transport sector are investigated, and opportunities and barriers to achieving a sustainable transportation system in each of the scenarios are discussed. In all scenarios, an increase in vehicle kilometers traveled is predicted, and in three of the four scenarios, significant increases in recycling and urban freight flows are predicted. The scenario development process highlighted how there are important uncertainties in the development of the society that will be highly important for the development of the digitized freight transport landscape. One example is the sustainability paradigm, which was identified as a strategic uncertainty.

scholarly journals Understanding Urban Commercial Vehicle Driver Behaviors and Decision Making

2021 ◽  
pp. 036119812110035
Author(s):  
Giacomo Dalla Chiara ◽  
Klaas Fiete Krutein ◽  
Andisheh Ranjbari ◽  
Anne Goodchild
Keyword(s):  
Commercial Vehicle ◽  
Operating Time ◽  
Common Belief ◽  
Policy Makers ◽  
Factors Affecting ◽  
Urban Freight ◽  
The Road ◽  
Commercial Drivers ◽  
The Common ◽  
Printed Materials

As e-commerce and urban deliveries spike, cities grapple with managing urban freight more actively. To manage urban deliveries effectively, city planners and policy makers need to better understand driver behaviors and the challenges they experience in making deliveries. In this study, we collected data on commercial vehicle (CV) driver behaviors by performing ridealongs with various logistics carriers. Ridealongs were performed in Seattle, Washington, covering a range of vehicles (cars, vans, and trucks), goods (parcels, mail, beverages, and printed materials), and customer types (residential, office, large and small retail). Observers collected qualitative observations and quantitative data on trip and dwell times, while also tracking vehicles with global positioning system devices. The results showed that, on average, urban CVs spent 80% of their daily operating time parked. The study also found that, unlike the common belief, drivers (especially those operating heavier vehicles) parked in authorized parking locations, with only less than 5% of stops occurring in the travel lane. Dwell times associated with authorized parking locations were significantly longer than those of other parking locations, and mail and heavy goods deliveries generally had longer dwell times. We also identified three main criteria CV drivers used for choosing a parking location: avoiding unsafe maneuvers, minimizing conflicts with other users of the road, and competition with other commercial drivers. The results provide estimates for trip times, dwell times, and parking choice types, as well as insights into why those decisions are made and the factors affecting driver choices.

scholarly journals Platoon Merging Approach Based on Hybrid Trajectory Planning and CACC Strategies

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2626
Author(s):  
Carlos Hidalgo ◽  
Ray Lattarulo ◽  
Carlos Flores ◽  
Joshué Pérez Rastelli
Keyword(s):  
Trajectory Planning ◽  
Traffic Congestion ◽  
Efficient Solutions ◽  
Test Case ◽  
Cruise Control ◽  
Automated Driving ◽  
Modular Architecture ◽  
The Road ◽  
Cooperative Adaptive Cruise Control ◽  
Multiple Vehicles

Currently, the increase of transport demands along with the limited capacity of the road network have increased traffic congestion in urban and highway scenarios. Technologies such as Cooperative Adaptive Cruise Control (CACC) emerge as efficient solutions. However, a higher level of cooperation among multiple vehicle platoons is needed to improve, effectively, the traffic flow. In this paper, a global solution to merge two platoons is presented. This approach combines: (i) a longitudinal controller based on a feed-back/feed-forward architecture focusing on providing CACC capacities and (ii) hybrid trajectory planning to merge platooning on straight paths. Experiments were performed using Tecnalia’s previous basis. These are the AUDRIC modular architecture for automated driving and the highly reliable simulation environment DYNACAR. A simulation test case was conducted using five vehicles, two of them executing the merging and three opening the gap to the upcoming vehicles. The results showed the good performance of both domains, longitudinal and lateral, merging multiple vehicles while ensuring safety and comfort and without propagating speed changes.

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