scholarly journals Congestion pricing optimization for shared transport

2020 ◽  
Vol 22 ◽  
Author(s):  
Andres Osuna ◽  
Hongcheng Liu
Keyword(s):  
Transportation Systems ◽  
Time Cost ◽  
Pricing Policy ◽  
Nash Games ◽  
Road Users ◽  
Pricing Scheme ◽  
Transportation Modes ◽  
Game Theoretic ◽  
Different Origins ◽  
Pricing Optimization

This project includes the analysis of transportation systems by mathematically modeling the collective decision making of drivers via Nash games. This paper considers two types of traffic pricing models which capture the implication of pricing on shared transport. Both models follow a game theoretic framework and capture the perspective of private shared transport companies that aim to increase their profit while improving social welfare or users’ time cost. The first model was established for users who vary their routing choices but not their transportation modes when the demand levels are fixed. The second model is more appropriate for companies with users who optimize both their routing and choice of transportation based on the pricing policy of the system where demands are elastic. Two pricing policies can be determined by convex formulations of optimal system traffic assignment problems on simple networks with different origins and destinations. The models also show how pricing affects road users’ decisions under different parameter settings. The numerical results confirmed formulation feasibility and gave insight on how the company can have an impact on both their revenue and time cost by modifying their pricing scheme.

scholarly journals Lost in transportation: Information measures and cognitive limits in multilayer navigation

2016 ◽  
Vol 2 (2) ◽  
pp. e1500445 ◽  
Author(s):  
Riccardo Gallotti ◽  
Mason A. Porter ◽  
Marc Barthelemy
Keyword(s):  
New York ◽  
Transportation Networks ◽  
Transportation Systems ◽  
Traditional View ◽  
Multimodal Transportation ◽  
Large Cities ◽  
Amount Of Information ◽  
Information Measures ◽  
Transportation Modes ◽  
Metropolitan Networks

Cities and their transportation systems become increasingly complex and multimodal as they grow, and it is natural to wonder whether it is possible to quantitatively characterize our difficulty navigating in them and whether such navigation exceeds our cognitive limits. A transition between different search strategies for navigating in metropolitan maps has been observed for large, complex metropolitan networks. This evidence suggests the existence of a limit associated with cognitive overload and caused by a large amount of information that needs to be processed. In this light, we analyzed the world’s 15 largest metropolitan networks and estimated the information limit for determining a trip in a transportation system to be on the order of 8 bits. Similar to the “Dunbar number,” which represents a limit to the size of an individual’s friendship circle, our cognitive limit suggests that maps should not consist of more than 250 connection points to be easily readable. We also show that including connections with other transportation modes dramatically increases the information needed to navigate in multilayer transportation networks. In large cities such as New York, Paris, and Tokyo, more than 80% of the trips are above the 8-bit limit. Multimodal transportation systems in large cities have thus already exceeded human cognitive limits and, consequently, the traditional view of navigation in cities has to be revised substantially.

scholarly journals Game-Theoretic Comparison Approach for Intercontinental Container Transportation: A Case between China and Europe with the B&R Initiative

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Xi Chen ◽  
Xiaoning Zhu ◽  
Qingji Zhou ◽  
Yiik Diew Wong
Keyword(s):  
Freight Transportation ◽  
Cost Effective ◽  
Freight Rate ◽  
Theoretic Model ◽  
Container Transportation ◽  
Railway Transportation ◽  
Transportation Modes ◽  
Game Theoretic ◽  
The Difference ◽  
Container Freight

This paper develops a game-theoretic model to analyze the competition between two container freight transportation modes (shipping and railway) using competitive game strategic interactions method, namely, deterrence, by taking account of the most cost-effective scale of the transportation capacity settings. The competition was set against the background of China’s Belt and Road (B&R) Initiative as a new situation for intercontinental Sino-Europe container freight transportation. The behavior of each mode (modeled as a carrier, resp.) is characterized by an optimization model with the objective of minimizing its cost by setting optimal basic freight rate and transportation deployment. A firm can use this method to compare the difference in the time value of the cargos and reduce the expense during the whole transportation process. Finally, the developed model is numerically evaluated by a case study of intercontinental transportation between Hefei (China) and Hamburg (Germany). The results show that deterrence effects largely depend on the deterrence objective, and the differential in the cost of two transportation modes tends to be stable with higher values in the deterrence objective. In the new intercontinental circumstance, the mode of railway transportation provides a new way to transport the cargos between China and Europe.

Manufacturer’s Leasing Channel Management in a Car Supply Chain

2020 ◽  
Vol 37 (06) ◽  
pp. 2050026
Author(s):  
Lihong Cheng ◽  
Xiaolong Guo ◽  
Bo Wang
Keyword(s):  
Production Cost ◽  
Theoretic Model ◽  
Consumer Experience ◽  
Interesting Phenomenon ◽  
Pricing Policy ◽  
Game Theoretic ◽  
Leasing Company ◽  
The Impact ◽  
Centralization And Decentralization ◽  
Main Model

Thanks to the convenient and hassle-free manner of leasing service, the car leasing industry has flourished in recent years. To leverage commercial opportunities, many well-known car manufacturers have chosen to enter the leasing market rather than focus solely on the selling market. An interesting phenomenon is that some manufacturers establish their own leasing departments to gain revenue from the leasing market (referred to as centralization), while other manufacturers conduct their leasing businesses through an autonomous leasing company (referred to as decentralization). In this paper, we propose a game-theoretic model to explore whether a car manufacturer should manage a leasing department in a centralized channel or have the leasing business done by an autonomous company in a decentralized channel. We demonstrate the optimal pricing policy for the manufacturer, dealer, and leasing department/company under both centralization and decentralization. In the main model, we assume that the consumer experience value preference follows a uniform distribution, and leasing brings consumers a better experience value than purchasing, and we normalize the marginal production cost of the product to zero. Our analysis reveals that neither centralization nor decentralization is always optimal, and the related boundary is analyzed. An interesting finding is that as the consumers’ leasing experience value rises, the dealer obtains higher profit, even though it serves fewer consumers in the decentralized channel. In the extension, we relax our assumptions to examine the impact of a normal distribution of consumer experience value preferences, a large purchasing experience value, and a non-negligible production cost, and we find that most of the main model results still hold qualitatively.

DwaRa: A Deep Learning-Based Dynamic Toll Pricing Scheme for Intelligent Transportation Systems

2020 ◽  
Vol 69 (11) ◽  
pp. 12510-12520
Author(s):  
Arpit Shukla ◽  
Pronaya Bhattacharya ◽  
Sudeep Tanwar ◽  
Neeraj Kumar ◽  
Mohsen Guizani
Keyword(s):  
Deep Learning ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Toll Pricing ◽  
Pricing Scheme

A game-theoretic model for roadway performance management

2014 ◽  
Vol 4 (1) ◽  
pp. 40-54 ◽  
Author(s):  
Hesham Osman ◽  
Mazdak Nikbakht
Keyword(s):  
Asset Management ◽  
Decision Makers ◽  
Theoretic Model ◽  
Theoretic Approach ◽  
Political Decision ◽  
Content Type ◽  
Road Users ◽  
Game Theoretic ◽  
The Impact ◽  
Asset Managers

Purpose – The purpose of this paper is to present a socio-technical approach to modeling the behavior of roadway users, asset managers, and politicians toward roadway performance and asset management. This approach models the complex interactions that occur between these agents in a complex system. Most modeling approaches in the domain of infrastructure asset management take a purely asset-centric approach and fail to address these socio-technical interactions. Design/methodology/approach – Interactions among political decision makers, asset management strategy developers, and road users are modeled using a game-theoretic approach. The interactions are modeled as a non-cooperative game in which politicians, asset managers, and road users are the main players. Each player is autonomous and aims to come up with the set of moves to maximize their respective level of satisfaction in response to other players’ moves. Multi-attribute utility theory is used to deal with multitude of players’ goals, and the Nash equilibria of the game are south out to develop appropriate strategies for different players. Findings – An illustrative example for a road network of a Canadian city is used to demonstrate the developed methodology. The developed methodology demonstrates how behaviors of various agents involved in the sphere of asset management impacts their collective decision-making behavior. Originality/value – The developed framework provides asset managers and political decision makers with a valuable tool to evaluate the impact of public policy decisions related to asset managers on road performance and the overall satisfaction of road users.

scholarly journals Automatic Railway Level Crossing System with Embedded Precision Solar Panel using IoT

2019 ◽  
Vol 8 (2) ◽  
pp. 6211-6216
Keyword(s):  
Internet Of Things ◽  
Public Transportation ◽  
Research Work ◽  
Solar Panel ◽  
Level Crossing ◽  
Level Crossings ◽  
The Public ◽  
Road Users ◽  
Transportation Modes ◽  
Human Interventions

Indian Railways is one of the public transportation modes in the country. It is the largest interconnected rail routes which carry many numbers of people from one end to another end. In this, various level crossings are operated on the rail routes and some of the level crossing gates are operated manually. This process is carried out by getting the information from the previous station once the train left the station. In this process, lots of mishaps are occurring due to human interventions and also there is no safety for road users. This issue can be overcome by making the same process in an automated manner. Hence, in this research work, a new automated level crossing model is proposed using the technology “Internet of Things” (IoT). This model will provide

scholarly journals Developing a Software Tool to Estimate Food Transportation Carbon Emissions

2020 ◽  
Vol 9 (4) ◽  
pp. 10
Author(s):  
Breuklyn Opp ◽  
Kurt A. Rosentrater
Keyword(s):  
Software Tool ◽  
The United States ◽  
Transportation Systems ◽  
Route Optimization ◽  
Long Distance ◽  
Globalizing World ◽  
Total Food ◽  
Transportation Modes ◽  
Transportation Emissions ◽  
Reduce Emissions

Food transportation is an increasingly important consideration to total food sustainability in a rapidly globalizing world. To maintain the efficiency of regionalized production, food travels great distances to the consumer’s plate. While this long-distance sourcing is often more sustainable from a production standpoint, the routes from origin to consumer are frequently unoptimized. To reduce emissions due to transportation, many have tried to limit the miles travelled by food items. However, the mode of travel is an equally important factor. Different modes produce vastly different emissions over equivalent distances. To effectively model these routes, a set of transportation emissions estimation tools has been created. This program uses an Excel interface to allow users to input key factors (like cargo mass, origin, and destination) and experiment with different modes and routes of travel to find the optimal transportation system for their application. This program may be used to analyze or improve the total life cycle analysis of a variety of products. In a case of the comparison of transportation modes, a salmon transportation route from the Faroe Islands (America’s 2nd largest source of imported fresh salmon) to Richmond, VA, USA, resulted in a roughly 98% reduction of emissions when shipped via sea rather than flown. In a case of transportation optimization, the reciprocal trade of beef between Costa Rica and the United States was found to result in at least 158,000 kg of CO2eq annually. These cases (and others) show the great need for better route optimization in food transportation systems.

scholarly journals Construction of the Optimization Model of Cargo Transport Network

2021 ◽  
Vol 261 ◽  
pp. 03013
Author(s):  
Yanyan Kong ◽  
Benfang Tian ◽  
Qingyang Wang ◽  
Donghui Liu ◽  
Yunfei Gao ◽  
...  
Keyword(s):  
Optimization Model ◽  
High Efficiency ◽  
Transportation Network ◽  
Transportation Cost ◽  
Circulation System ◽  
Time Cost ◽  
Transportation Modes ◽  
Consumption Cost ◽  
The Cost ◽  
In Transit

The transportation is gradually integrated into the circulation system of bulk goods, and developing and growing. Transportation has the advantages of high efficiency, high quality and green environment, In time, efficiency and cost than the traditional bulk transport has certain advantages. This paper analyzes the cost of logistics transportation network, which mainly includes transportation cost in transit, transit cost, time cost of cargo transportation and special cost. This paper discusses in detail the transportation cost, transit cost, time cost and carbon consumption cost of different transportation modes in the process of “scattered transformation”, and constructs the optimization model of” scattered transformation “transportation network with the least comprehensive transportation cost including the above costs.

scholarly journals Complete Street Maintenance and Road Safety Improvement (Canada and USA Practices)

2016 ◽  
Vol 5 (3) ◽  
pp. 34-40
Author(s):  
Нарбеков ◽  
M. Narbekov
Keyword(s):  
Road Safety ◽  
Complete Streets ◽  
Preventative Measures ◽  
Road Users ◽  
Operating Environments ◽  
Safety Improvement ◽  
Transportation Modes ◽  
User Expectations ◽  
Definition Of ◽  
Transit Use

The article represents North American practices of sustanable transportation modes prevalence, including pedestrian and bycicle travel choices. This publication also adduces the definition of “Complete Streets”, describes the structure of Multimodal Transportation Corridors, discloses the streetscaping advantages and environmental improuvements, subject to economy, soicial and ecology сomponents, safety enhancement of community residences of all ages and abilities. Maximizing the safety and security of all road users and mode-shifters is a fundamental objective of the urban planners and enironmental designers. While transportation facilities are initially built to optimize safety, operating environments and user expectations can change over time. Without additional preventative measures, undesirable conditions and behaviours can lead to property damages, injuries and fatalities. These risks can be mitigated through multidisciplinary road safety strategies that use infrastructure, operations and services to address road users, road environments and vehicles. Facilities and services for walking, cycling and transit can also be made safer and more secure for users. Outreach can help travellers reduce their exposure to risk by shifting to a safer mode, or by adopting safer behaviour. Perceptions related to safety can influence individuals’ choice of travel modes, and safety initiatives can help the cities achieve its objectives for walking, cycling and transit use.

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