Microscopic Simulation Modeling of En-Route Diversion Strategies for Commercial Vehicle Operations

2011 ◽  
Vol 480-481 ◽  
pp. 1008-1013
Author(s):  
Hao Wang ◽  
Ruey Cheu ◽  
Der Horng Lee
Keyword(s):  
Simulation Modeling ◽  
Commercial Vehicle ◽  
Guidance System ◽  
Route Guidance ◽  
Microscopic Simulation ◽  
Potential Benefits ◽  
Route Diversion ◽  
Day To Day Operations ◽  
Traffic Simulations ◽  
Better Than

Most routing decisions or diversion plans in the literature are made based on the current traffic situation and little attention is paid to future. Such kinds of greedy strategy consistently suggest en route diversion at any point where the alternative route choice is better than the ongoing one. Hence, in the constantly varying real world, excessive diversions may appear and are much likely to create a sort of ‘zig-zag’ effect, eventually leading to a higher cost. A forward-looking diversion strategy considering both real-time and future information is proposed in this paper, and the potential benefits, limitations and difficulties of several diversion strategies are evaluated through microscopic traffic simulations. The research will help logistics companies to assess the benefits of en route guidance system in their day-to-day operations.

scholarly journals An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology

2021 ◽  
Vol 11 (5) ◽  
pp. 2057
Author(s):  
Abdallah Namoun ◽  
Ali Tufail ◽  
Nikolay Mehandjiev ◽  
Ahmed Alrehaili ◽  
Javad Akhlaghinia ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Urban Areas ◽  
Urban Environments ◽  
Ease Of Use ◽  
Transport Infrastructure ◽  
Guidance System ◽  
Planning System ◽  
Flow Density ◽  
Route Guidance ◽  
Agent Based

The use and coordination of multiple modes of travel efficiently, although beneficial, remains an overarching challenge for urban cities. This paper implements a distributed architecture of an eco-friendly transport guidance system by employing the agent-based paradigm. The paradigm uses software agents to model and represent the complex transport infrastructure of urban environments, including roads, buses, trolleybuses, metros, trams, bicycles, and walking. The system exploits live traffic data (e.g., traffic flow, density, and CO2 emissions) collected from multiple data sources (e.g., road sensors and SCOOT) to provide multimodal route recommendations for travelers through a dedicated application. Moreover, the proposed system empowers the transport management authorities to monitor the traffic flow and conditions of a city in real-time through a dedicated web visualization. We exhibit the advantages of using different types of agents to represent the versatile nature of transport networks and realize the concept of smart transportation. Commuters are supplied with multimodal routes that endeavor to reduce travel times and transport carbon footprint. A technical simulation was executed using various parameters to demonstrate the scalability of our multimodal traffic management architecture. Subsequently, two real user trials were carried out in Nottingham (United Kingdom) and Sofia (Bulgaria) to show the practicality and ease of use of our multimodal travel information system in providing eco-friendly route guidance. Our validation results demonstrate the effectiveness of personalized multimodal route guidance in inducing a positive travel behavior change and the ability of the agent-based route planning system to scale to satisfy the requirements of traffic infrastructure in diverse urban environments.

User Information Requirements for Intelligent Vehicle Highway Systems as a Function of Driver Category

1993 ◽  
Vol 37 (16) ◽  
pp. 1077-1081
Author(s):  
Linda Ng ◽  
Woodrow Barfield
Keyword(s):  
Commercial Vehicle ◽  
Route Guidance ◽  
Information Requirements ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Complex Information ◽  
Road Congestion ◽  
Vehicle System ◽  
Commercial Drivers ◽  
Data Estimation

Advanced Traveler Information Systems/Commercial Vehicle Operations (ATIS/CVO) are segments of IVHS currently being researched as a means of decreasing road congestion and increasing safety. Due to the complex information requirements for these systems, three surveys have been designed by University of Washington researchers and distributed nationwide to collect these requirements from the users: commercial drivers, dispatchers and private vehicle drivers This paper discusses the methodology used to design the surveys and the effort to ensure that a representative sample was included on a nationwide basis. Approximately 8,300 surveys were distributed in person and 10,000 dispatcher surveys were distributed in a newsletter. Data estimation procedures will include modeling the influence of an in-vehicle system for route guidance and determining the significant impacts of an ATIS/CVO in terms of age, gender, income, and other socioeconomic characteristics.

Forced-node route guidance system: incorporating both user equilibrium and system optimal benefits

2019 ◽  
Vol 13 (12) ◽  
pp. 1851-1859 ◽  
Author(s):  
Hossein Rahimi-Farahani ◽  
Amir Abbas Rassafi ◽  
Babak Mirbaha
Keyword(s):  
User Equilibrium ◽  
Guidance System ◽  
Route Guidance ◽  
System Optimal
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