Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

This study presents a systematic review of the literature on the impact of digital management tools on the operational efficiency of heavy-duty freight transportation. It analyses technologies such as artificial intelligence (AI), blockchain, and telemetry, which have proven to improve logistics planning, optimise route management, and reduce operational costs. Despite these benefits, significant barriers to implementation are identified in developing regions, where limited technological infrastructure and high costs hinder adoption. Results indicate improvements of up to 25% in operational efficiency for companies that have implemented digital tools. Furthermore, gaps in the literature suggest the need for research into the long-term impact of these technologies across diverse geographical and economic contexts. The study concludes with recommendations for future research and policies that facilitate a more inclusive and effective adoption of digital tools in the heavy freight transportation sector.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Rapid urbanisation has led to an increase in vehicle ownership globally. This causes increased traffic congestion and consequent vehicular emissions, as well as deteriorating ambient air quality. Traffic congestion, hence it needs to be quantified and alleviated with effective traffic management. In the present study, an attempt is made to quantify congestion levels and to analyse the impact of causative factors on the same in a typical urban corridor in Thiruvananthapuram city of Kerala. A methodology based on the Speed Performance Index (SPI) is used to estimate congestion indices of the road segments. Buffer studies were also attempted with different physical features like the vicinity of junctions, bus stops, and schools, to identify their influence on congestion levels. SPI is also modelled with traffic parameters and geometric characteristics. The study can be used as an effective procedure for traffic planners to alleviate congestion for a sustainable transportation system.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.