Introduction to How to Provide Accurate and Robust Traffic Forecasts Practically?

Introduction to How to Provide Accurate and Robust Traffic Forecasts Practically?

With  the  development of  our  modern cities,  growing traffic  problems adversely affect people’s  traveling convenience more  and  more,  which  has  become  one  of the  most  crucial factors  considered in urban planning and  design in recent  years.  Urban  traffic congestion is a severe  problem that  significantly reduces the  quality of life in particularly metropolitan areas.  However, frequently constructing new  roads  is not  realistic  and  untenable in social and  economic aspects. In the effort to deal with this intractable problem, so-called intelligent transportation systems (ITS) technologies are successfully implemented widely throughout the world nowadays. ITS with two important components advanced traffic management systems (ATMS) …
Introduction to Deploying Wireless Sensor Devices in Intelligent Transportation System Applications

Introduction to Deploying Wireless Sensor Devices in Intelligent Transportation System Applications

A recent  study by the UK Government’s Office of Science and  Innovation, which  examined how  future intelligent infrastructure would evolve  to support transportation over  the  next 50 years  looked  at a range  of new  technologies, systems and  services  that  may  emerge over that  period (UK DfT, 2006). One  key  class  of technology that  was  identified as  having a significant role in delivering future intelligence to the transport sector was wireless sensor networks and in particular the fusion of fixed and mobile networks to help deliver a safe, sustainable and robust future transportation system  based  on the better  collection  of data,  its processing and  dissemination and  the  intelligent use …
Introduction to Investigation of Measurement for Travel Time Variability

Introduction to Investigation of Measurement for Travel Time Variability

Congestion has grown over  the past  two  decades making the travel  time  highly  unreliable. The Federal Highway Administration (FHWA), US Department of Transportation (USDOT) indicated travel time as an important index to measure congestion. Frequent but stochastic, irregular delays  increase  the challenge for people to plan  their  journey – e.g. when to depart from  the origin,  which  mode(s) and  route(s) to use so the on-time arrival at the destination can  be ensured. In addition to average travel  time,  the  reliability of travel  time  has  been deemed as an index  for quantifying the  effects  of congestion, which  can be applied to the areas of transportation…
Introduction to Microwave Beamforming Networks for Intelligent Transportation Systems

Introduction to Microwave Beamforming Networks for Intelligent Transportation Systems

An  Intelligent Transportation System  (ITS) is a system  based  on wireless communications which  has  been  investigated for many  years  in order to provide new  technologies able  to improve safety  and  efficiency  of  road  transportation with  integrated vehicle  and  road systems. It  combines all  aspects of  technology and  systems design concepts in  order to develop and improve transportation system of all kinds. ITS, which utilise information and communications technology in vehicle as well as within the roadside infrastructure, can also be used to improve mobility while increasing transport safety, reducing traffic congestion, maximising comfort,  and …
Introduction to Modelling, Simulation Methods for Intelligent Transportation Systems

Introduction to Modelling, Simulation Methods for Intelligent Transportation Systems

Effective transportation systems lead to the efficient movement of goods and people, which significantly contribute to the quality of life in every  society.  In the heart  of every  economic and  social  development,  there  is  always  a  transportation  system.  Meanwhile,  traffic congestion has been increasing worldwide because of increased motorization, urbanization, population  growth,  and  changes  in  population  density.  This  threatens  the  social  and economic prosperity of communities all over  the  world. Congestion reduces utilization of the   transportation  infrastructure  and  …
Introduction to Investigation of Measurement for Travel Time Variability

Introduction to Investigation of Measurement for Travel Time Variability

Congestion has grown over  the past  two  decades making the travel  time  highly  unreliable. The Federal Highway Administration (FHWA), US Department of Transportation (USDOT) indicated travel time as an important index to measure congestion. Frequent but stochastic, irregular delays  increase  the challenge for people to plan  their  journey – e.g. when to depart from  the origin,  which  mode(s) and  route(s) to use so the on-time arrival at the destination can  be ensured. In addition to average travel  time,  the  reliability of travel  time  has  been deemed as an index  for quantifying the  effects  of congestion, which  can be applied to the areas of transportation…
Introduction to Applying Vehicular  Networks for Reduced

Introduction to Applying Vehicular Networks for Reduced

Fuel Consumption and CO2 Emissions These days  the detrimental effects of air pollutants and  concerns about  global  warming are being  increasingly reported by the  media.   In many  countries, fuel  prices  have  been  rising considerably.   In  western Canada, for  instance, the  gasoline   price  almost   doubled from about  53 cents/liter in  1998 to  109 cents/liter in  2010 (Wiebe,  2011).   In  terms  of the  air…